Correlation between Altmetric Attention Score and Citation in the Urological Cancers Literature

Document Type : Original Article

Authors

1 Pars Advanced and Minimally Invasive Medical Manners Research Center, Pars Hospital, Iran University of Medical Sciences, Tehran, Iran

2 Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

3 Department of Pathology, University of California, Los Angeles, USA

4 Ebnesina Hospital, Iran University of Medical Sciences, Tehran, Iran

Abstract

Introduction: The association between the Altmetric Attention Score (AAS), a surrogate of public attention, and citation in urology cancer field articles was evaluated.
Methods: We searched in Scopus based on the existence of the following terms in the title, abstract, and keywords: prostate or bladder or kidney or renal or testis, AND tumor or cancer or malignancy, and the top 50 articles of 2015 with the highest citation counts were enrolled in our study. AAS was calculated using Altmetric explorer, and the citation number was extracted from Scopus.
Results: At last, 23 irrelevant articles were excluded, and 27 remained. The article with the highest citation was placed 11th in the AAS ranking, and the article with the highest AAS was the 12th highly cited article. AAS had a significant association with citation count; however, it did not associate with journals' impact factor, study type, study topic, articles access, type of tumor, and geographic distribution (P-value>0.05). Most articles were original, mainly with "molecular mechanism and genetics" topics, and originated from USA institutions. Moreover, many were published in open-access journals and dedicated to prostate cancer.
Conclusion: Articles with fabulous citation counts do not necessarily have a higher Altmetric score, which indicates that subjects with high popularity among people may not interest the scientific community
 

Graphical Abstract

Correlation between Altmetric Attention Score and Citation in the Urological Cancers Literature

Highlights

  • Altmetric can measure the impact of literature with higher velocity than traditional citation scores.
  • The present study examined the online attention toward urology cancer field articles with the highest citation number utilizing Altmetric data.
  • There is an association between citation and Altmetric attention score.

Keywords

Main Subjects


Introduction

With tremendous advancements in life expectancy, the incidence of cancer-related deaths along with cancer treatment attempts has risen notably (1, 2). Urological cancers, mainly prostate, bladder, kidney, and testis cancers, are prevalent worldwide; however, their incidence and mortality vary among different countries (3, 4). Among men, apart from skin cancers, prostate cancer is the most prevalent cancer, with an annual incidence of 240,000 new cases in the United States (2). Likely, bladder cancer imposes a significant burden on the healthcare system; as shown in 2012, 14,880 deaths were attributed to bladder cancer in the United States (2, 5). Up to now, quite an amount of efforts have been made to address risk factors of urological cancers, and several of them, including, but not limited to, metabolic, behavioral, and environmental risk factors, have been identified (2).

Although traditionally, the impact of the journal that published the article and the number of citations were the main tools to measure the quality of the article, currently, due to progress and gaining popularity in new technology, new metrics have been introduced as means of evaluating the usage and the spread of scientific papers (6). Nowadays, with substantial improvements in new technologies such as wearable devices (7), big data (8), and cloud computing (9), desirable situations are provided for people to be aware, share, and analysis different aspects of cancer diseases. Moreover, medical staff can derive enormous benefits from evolving comprehensive information regarding, for instance, cancer pathogenesis and genetic features of cancer diseases (10). 

Altmetric, a supplement of bibliometric, traces the existence of a scientific paper on social platforms by calculating the mentions that a paper obtained through different media, including Twitter, Facebook, blogs, policy sources, news outlets, Wikipedia, Reddit, online videos, patents, and Google (11, 12). The Altmetric score calculates within an automated algorithm and indicates a weighted sum of attention for specific research output (11). To the best of our knowledge, there is no available study regarding the compassion between Altmetric score and citations in the urology cancer field. We found out that there is a knowledge gap concerning public attention to urological cancer articles. Hence, herein, we designed a study to evaluate whether there is an association between citation and Altmetric attention score (AAS) in the top 50 highly cited articles in the Cancer Urology Cancer field published in 2015. 

 

Methods

We aimed to define top-ranked articles in urology about the four most prevalent tumors, including prostate, bladder, renal/kidney, and testis. We assumed that each paper's five-year period was required to evaluate its penetration indexes into academic and public communities. Therefore, articles published in Scopus between January 2015 and December 2015 were included. Our search strategy was based on the following terms in the title or abstract: prostate, bladder, kidney or renal, or testis AND tumor or cancer or malignancy.

The search results were sorted according to citation count, and a full list of 50 top-ranked articles was obtained from Scopus. Then, the list was purified based on relevancy to the field of urology by two authors (M. AP and SS. T) independently. The study titles, abstracts, and full texts were checked and 23 irrelevant articles were excluded. Data extraction was performed by two authors (M. AP and SS. T). The first author, journal's name, article type, country, major topic, tumor type, AAS of paper, and citation in August 2020 were extracted. The two researchers identified article type (original, reviews, and note), major topic (epidemiology, treatment, molecular mechanism, and genetics, diagnosis and early detection, etiology and risk factors), tumor type (prostate, bladder, kidney, testis), and article access (non-open access vs. open access). The AAS was obtained from the Altmetric Bookmarklet tool downloaded from the website Altmetric.com. Information related to online attention to the publications (e.g., Twitter, Facebook, Mendeley, Etc.) was reported from this tool. The journals' impact factors (IF) and quartiles (Q) were collected from SJR (http://scimagojr.com). In addition, citation numbers were extracted from Scopus (HTTP: //www.Scopus. com).

 

Statistical analysis

We used the median and the ranges of values (minimum-maximum) to describe data. Study data that were not normally distributed and comparisons were made using a Kruskal-Wallis’s test to compare Altmetric scores among different categories. The Spearman rank correlation coefficient was used to describe the correlation between Altmetric attention scores and citation count or the number of mentions on Twitter. As well, the relationship between AAS and the journals' impact factors were assessed. Data analysis was performed in SPSS v.21.

 

Results

27 articles were included for analysis in the final list and were sorted in Table 1 according to their citation, and the articles' characteristics were reported. Among all, 77.7% were original articles, 18.5% were reviews, and one was a note. The source country of most of these top-ranked articles was North America (51.8%) and Europe (397%), and only three articles were from other geographic areas. The ten top most-cited manuscripts were original articles, and those focused on epidemiological issues or treatment advances had higher citation values. The mean value of citation scores for articles published originally from the USA, Europe, and other countries were 2029.21±4682.79, 710±313.48, and 434.33±66.42, respectively (data not shown).

 

Table 1. list of 27 most cited articles in Scopus, 2015 in relation to four urological cancers including prostate, kidney, bladder, and testis

Title

First Author

Journal

Article type

Open Access

Country

Subject

Tumor Type

Citation Number

Global cancer statistics, 2012

Torre L.A.

CA Cancer Journal for Clinicians

Original article

No

USA

Epidemiology

Prostate, bladder, kidney, testis

18248

The Global Burden of Cancer 2013

Fitzmaurice C.

JAMA Oncology

Original article

Yes

USA

Epidemiology

Prostate, bladder, kidney, testis

1595

EAU guidelines on renal cell carcinoma: 2014 update

Ljungberg B.

European Urology

Original article

No

Netherland

Treatment

Kidney

1311

Integrative clinical genomics of advanced prostate cancer

Robinson D.

Cell

Original article

Yes

USA

Molecular mechanism and genetics

Prostate

1263

Global surveillance of cancer survival 1995-2009: Analysis of individual data for 25 676 887 patients from 279 population-based registries in 67 countries (CONCORD-2)

Allemani C.

The Lancet

Original article

No

UK

Epidemiology

Prostate

1116

Chemohormonal therapy in metastatic hormone-sensitive prostate cancer

Sweeney C.J.

New England Journal of Medicine

Original article

Yes

USA

Treatment

Prostate

1103

The Molecular Taxonomy of Primary Prostate Cancer

Abeshouse A.

Cell

Original article

No

USA

Epidemiology

Prostate

1021

DNA-repair defects and olaparib in metastatic prostate cancer

Mateo J.

New England Journal of Medicine

Original article

Yes

UK

Treatment

Prostate

970

Olaparib monotherapy in patients with advanced cancer and a germline BRCA1/2 mutation

Kaufman B.

Journal of Clinical Oncology

Original article

No

USA

Treatment

Prostate, bladder

870

Comparison of MR/ultrasound fusion-guided biopsy with ultrasound-guided biopsy for the diagnosis of prostate cancer

Siddiqui M.M.

JAMA - Journal of the American Medical Association

Original article

Yes

USA

Diagnosis and early detection

Prostate

846

PD-L1 expression as a predictive biomarker in cancer immunotherapy

Patel S.P.

Molecular Cancer Therapeutics

Review

Yes

USA

Molecular mechanism and genetics

Prostate, bladder, kidney

744

Carcinogenicity of consumption of red and processed meat

Bouvard V.

The Lancet Oncology

Note

No

France

Etiology and risk factor

Prostate

619

The evolutionary history of lethal metastatic prostate cancer

Gundem G.

Nature

Original article

No

Finland

Molecular mechanism and genetics

Prostate

619

Abiraterone acetate plus prednisone versus placebo plus prednisone in chemotherapy-naive men with metastatic castration-resistant prostate cancer (COU-AA-302): Final overall survival analysis of a randomised, double-blind, placebo-controlled phase 3 study

Ryan C.J.

The Lancet Oncology

Original article

No

USA

Treatment

Prostate

618

Evaluation of hybrid 68Ga-PSMA ligand PET/CT in 248 patients with biochemical recurrence after radical prostatectomy

Eiber M.

Journal of Nuclear Medicine

Original article

Yes

Germany

Diagnosis and early detection

Prostate

616

Long-term follow-up of a large active surveillance cohort of patients with prostate cancer

Klotz L.

Journal of Clinical Oncology

Original article

No

Canada

Epidemiology

Prostate

594

The diagnostic value of PET/CT imaging with the 68Ga-labelled PSMA ligand HBED-CC in the diagnosis of recurrent prostate cancer

Afshar-Oromieh A.

European Journal of Nuclear Medicine and Molecular Imaging

Original article

Yes

Germany

Diagnosis and early detection

Prostate

574

Annual report on status of cancer in China, 2011

Chen W.

Chinese Journal of Cancer Research

Original article

No

China

Epidemiology

Prostate, bladder, kidney, testis

511

Molecular biology of bladder cancer: New insights into pathogenesis and clinical diversity

Knowles M.A.

Nature Reviews Cancer

Review

No

UK

Molecular mechanism and genetics

Bladder

467

Emerging mechanisms of resistance to androgen receptor inhibitors in prostate cancer

Watson P.A.

Nature Reviews Cancer

Review

No

USA

Molecular mechanism and genetics

Prostate

422

Can Clinically Significant Prostate Cancer Be Detected with Multiparametric Magnetic Resonance Imaging? A Systematic Review of the Literature

Fütterer J.J.

European Urology

Review

No

France

Diagnosis and early detection

Prostate

421

Free Radicals: Properties, Sources, Targets, and Their Implication in Various Diseases

Phaniendra A.

Indian Journal of Clinical Biochemistry

Review

No

India

Molecular mechanism and genetics

Prostate, bladder

398

Cancer statistics in Korea: Incidence, mortality, survival, and prevalence in 2012

Jung K.-W.

Cancer Research and Treatment

Original article

Yes

Korea

Epidemiology

Prostate, bladder, kidney, testis

394

Lenvatinib, everolimus, and the combination in patients with metastatic renal cell carcinoma: A randomised, phase 2, open-label, multicentre trial

Motzer R.J.

The Lancet Oncology

Original article

No

UK

Treatment

Kidney

387

Androgen receptor splice variant 7 and efficacy of taxane chemotherapy in patients with metastatic castration-resistant prostate cancer

Antonarakis E.S.

JAMA Oncology

Original article

Yes

USA

Molecular mechanism and genetics

Prostate

368

Trends in management for patients with localized prostate cancer, 1990-2013

Cooperberg M.R.

JAMA - Journal of the American Medical Association

Original article

Yes

USA

Treatment

Prostate

359

MTOR regulates the pro-tumorigenic senescence-associated secretory phenotype by promoting IL1A translation

Laberge R.-M.

Nature Cell Biology

Original article

No

USA

Molecular mechanism and genetics

Prostate

358

 

Table 2 shows the AAS for the included articles. The highest AAS was for a note that was published "In Lancet Oncology" with the topic of "etiology and risk factors of prostate cancer". The second and third were two epidemiological articles about "global surveillance of cancer survival" and "The global burden of cancer" that were published in "The Lancet" and "JAMA Oncology", respectively. Table 2 shows the traditional science metrics in comparison with the online attention score. However, Figure 1a shows there was no correlation between citation and AAS (r=0.03, P-value=0.952). Figure 1 b shows that after eliminating two outlier articles from the study data, a statistically significant but weak correlation was observed between these indexes (r=0.56, P-value=0.003). Twitter had a significant role in online public attention, and there was a significant correlation between AAS and Twitter (r=0.79, P-value<0.001; Figure 2).

 

Table 2. Altmetric Attention Score and Citation for the most cited articles        

ID*

AAS/C**

News Outlets

Blogs

Policy Sources

Tweeters

Patents

Weibo

User

Facebook

Pages

Wikipedia

Pages

Google+ Users

Video Uploader

Readers on Mendeley

Readers on CiteULike

Research Highlight Platform

Dimensions

Peer Review Site

Redditors

12

2223/619

170

48

6

720

0

0

52

1

10

18

1408

0

0

634

0

2

5

827/1116

46

8

2

562

0

3

25

1

6

0

1186

1

0

0

0

0

2

697/1595

17

2

1

831

0

0

29

0

9

1

1420

0

0

1555

0

0

6

529/1103

43

8

1

213

1

0

10

0

1

0

740

0

1

1148

0

0

23

501/394

65

0

0

0

0

0

0

0

0

0

94

0

0

489

0

0

8

480/970

39

7

0

218

4

0

12

0

3

1

827

1

1

0

0

2

10

453/846

37

5

0

216

0

0

14

0

4

1

540

1

1

935

0

0

11

413/744

50

0

0

13

6

0

0

0

1

0

742

0

0

846

0

0

4

347/1263

29

7

0

105

6

0

4

0

2

0

1156

6

1

1318

1

0

   13

232/619

11

8

0

164

1

0

9

0

2

0

1008

13

1

689

0

0

1

227/18248

19

4

5

36

13

1

3

2

2

1

8540

3

0

0

0

0

24

221/387

25

5

1

13

1

0

1

0

0

0

250

0

0

443

0

0

16

191/594

18

2

0

60

2

0

1

0

0

0

412

0

0

667

0

0

26

166/359

12

3

0

83

0

0

10

0

0

0

143

0

0

387

0

0

14

138/618

16

1

0

26

0

0

4

0

0

0

427

0

0

680

0

0

22

135/398

17

0

0

3

0

0

4

1

0

0

1413

0

0

461

0

0

7

106/1021

6

1

0

81

1

0

1

1

0

0

1098

3

0

1178

0

0

9

99/870

12

0

1

18

0

2

0

0

0

0

629

0

0

899

0

0

25

81/368

7

1

0

38

3

0

3

0

1

0

193

0

0

388

0

0

27

45/358

3

0

0

20

3

0

1

0

1

0

434

0

1

409

0

0

3

34/1311

1

1

0

26

1

0

2

0

0

0

561

0

0

1562

0

0

21

34/421

1

0

0

36

0

0

6

0

1

0

369

0

0

471

0

0

15

31/616

2

1

1

4

1

0

1

0

0

0

299

1

0

641

0

0

19

29/467

1

0

0

26

0

0

2

0

0

0

534

0

0

478

0

0

20

23/422

0

0

1

22

5

0

4

0

0

0

478

0

0

427

0

0

17

17/574

0

0

2

3

11

0

0

0

0

0

302

0

0

630

0

0

18

10/511

1

0

0

1

0

0

0

0

0

0

88

0

0

469

0

0

*ID: Citation rank; **AAS/C: Altmetric Attention Score (ASS)/ Citation

 


Figure1a. Relationship between citations and AAS for all papers

 


Figure1b. Relationship between citations and AAS for 26 papers (excluding the 2 outliers: 1 & 12)

 


Figure 2. Relationship between AAS and mentions on Tweeters in all papers

 

Table 3 shows the median value of citation, AAS, mentioned in Twitter, and almost all other evaluated indexes were higher in open-access journals. However, the estimated values did not show a statistically significant difference (P-values > 0.05). All article sources were Q1 journals, except for JAMA Oncology which was not in the SJR Q ranking in 2015. In addition, the two Chinese and Indian journals were Q3. The journal's impact factor in publication date ranged from 0 to 100.1, shifting towards 1.1 to 223.6 in 2019 (Table 4). The correlation between AAS and journals' impact factor in 2015 vs. 2019 is demonstrated in Figures 3a and 3b. There was only a very weak correlation between these factors. However, these findings were not statistically significant (respectively; r=.11, P-value=.557; r=.08, P-value=.727).

 


Figure 3a. Relationship between journals’ impact factor (in 2015) and AAS

 


Figure 3b. Relationship between journals’ impact factor (in 2019) and AAS

 

 

Table 3. Comparison of science metric and altimetric indexes according to journals’ accessibility status

 

Open Access

No Median (min-max)

Yes Median  (min-max)

P-value

Cited by

606 (358-18248)

744 (359-1595)

0.730

Altmetric Attention Score

120.5 (10-2223)

413 (17-697)

0.139

News outlets

11.5 (0-170)

29 (0-65)

0.145

Blogs

1 (0-48)

2 (0-8)

0.492

Policy sources

0 (0-6)

0 (0-2)

0.774

Tweeters

26 (1-720)

83 (0-831)

0.521

Patents

0.5 (0-13)

1 (0-11)

0.287

Weibo user

0 (0-3)

0 (0-0)

0.136

Facebook pages

2.5 (0-52)

4 (0-29)

0.654

Wikipedia pages

0 (0-2)

0 (0-0)

0.045

Google+ users

0 (0-10)

1 (0-9)

0.262

Video uploader

0 (0-18)

0 (0-1)

0.401

Readers on Mendeley

547.5 (88-8540)

540 (94-1420)

0.430

Readers on CiteULike

0 (0-13)

0 (0-6)

0.690

Research highlight platform

0 (0-1)

0 (0-1)

0.150

Dimensions

474.5 (0-1562)

641 (0-1555)

0.430

Peer review site

0 (0-0)

0 (0-1)

0.228

Redditors

0 (2-11)

0 (0-2)

0.822

 

 

Table 4. Comparison of article sources according to the type of journals

Journals

N*

Journal Q in 2015

Journal IF in 2015

Journal IF in 2019

Cell

2

Q1

28.710

38.637

CA Cancer Journal for Clinicians

1

Q1

100.139

223.679

JAMA Oncology

2

Not indexed in SCImago

0

24.799

European Urology

2

Q1

14.976

17.581

The Lancet

1

Q1

31.981

60.392

New England Journal of Medicine

2

Q1

35.430

74.699

Journal of Clinical Oncology

2

Q1

17.467

32.956

Nature

1

Q1

26.445

42.778

Journal of Nuclear Medicine

1

Q1

6.203

7.354

European Journal of Nuclear Medicine and Molecular Imaging

1

Q1

1.761

7.081

The Lancet Oncology

3

Q1

30.483

33.752

Cancer Research and Treatment

1

Q1

4.959

3.761

JAMA - Journal of the American Medical Association

2

Q1

13.924

45.540

Nature Cell Biology

1

Q1

16.734

20.042

Nature Reviews Cancer

2

Q1

34.838

53.030

Chinese Journal of Cancer Research

1

Q3

2.201

4.135

Indian Journal of Clinical Biochemistry

1

Q3

1.050

1.140

Molecular Cancer Therapeutics

1

Q1

5.579

5.040

*Number of study articles published in each journal

 

Finally, we compared the median value of AAS in different categories. AAS in open-access journals (Median=413) was relatively higher than in non-open-access journals (Median=120.5). AAS in review articles was significantly lower than in other types of articles. The median value of AAS in North American countries was higher than in European and Asian countries. The AAS for Asian countries was higher than European ones. However, the reported ranges were too broad, and in one article were only ten. The ASS reported for each article in Table 2 was relatively higher in American publications. Considering both the median and range of values in Table 5, epidemiological articles had the highest online attention score.

 

Table 5. Factors associated with Altmetric Attention Score in 28 articles

Factor   

Number of Outputs

Median of Altmetric Attention Score (min-max)

P-value

Article Access

Non-open access

16

120.5(10-2223)

0.139

Open access

11

413(17-697)

Study type

Original article

21

191(10-827)

0.096

Review

5

34(23-413)

Note

1

2223(2223-2223)

Topic

Epidemiology

7

227(10-827)

0.180

Treatment

7

166(34-529)

Molecular mechanism and genetics

8

108(23-413)

Diagnosis and early detection

4

32.5(17-453)

Etiology and risk factor

1

2223(2223-2223)

Tumor type

Prostate

17

166(17-2223)

0.683

Bladder

1

29(29-29)

Kidney

2

127.5(34-221)

Prostate, Bladder

2

117(99-135)

Prostate, Bladder, Kidney

1

413(413-413)

Prostate, Bladder, Kidney, Testis

4

364(10-697)

Geographic distribution

North America

14

178.5(23-697)

0.862

Europe

10

127.5(17-2223)

Asia

3

135(10-501)

 

Discussion

To our knowledge, no study so far has been conducted to explore the association between AAS and citation scores in the urological cancer field. Expectedly, in the current study, following removing two outlier articles, a weak positive association between AAS and Scopus citation was found. According to the findings of Eabhann et al.,'s study that was performed on 100 urological articles with the highest Altmetric scores published in 2014 and 2015, a significant correlation was found between Altmetric score and the number of citations per article and the impact factor of the journal (13). Likely, this positive correlation was replicated by Calopedose et al., among 22 urological articles (14). Currently, journals’ impact factor neither in 2015 nor in 2019 had a significant association with AAS. Other studies in oral cancer (15), nursing (16), radiology (17), and urology (6) fields reached the same result in this regard. This point highlights that the AAS of the article does not merely depend on the journal's impact factor, and other factors may have a role in gaining public attention.

Although the study of Torre et al. had the highest citation counts, it ranked 11th in terms of AAS in the present study. This original article which was published in "CA: A Cancer Journal for Clinicians" journal with an impact factor of 223.67, investigated global several malignancies including prostate, bladder, kidney, and testis, scale and profiles as well as preventive measures. At last, they concluded that the incidence of malignancies because of the increase in life expectancy and worldwide population and carcinogenic behaviors, including tobacco usage, is sustainably rising (18). The study had the highest AAS, whereas was discussed the relationship between red meat consumption and different malignancies (19). The article with the highest AAS was "Carcinogenicity of consumption of red and processed meat". This article made brief reports on the potential of red and processed meat as risk factors for malignancies, especially prostate cancer. Based on the article's topic, it is reasonable that the article had considerable popularity among people.

There were no significant associations between AAS and study type, topic, type of tumor, and geographic distribution in the present study. In the current study, most enrolled articles (approximately 78%) were original articles, and the review articles were placed in the second rank with a rate of 36%, which is similar to Mainwaring et al.'s study. In their study, 79% of bladder cancer articles with the highest citation were original, and 14% were reviewed, of which 8% were the review manuscript, and 6% were the meta-analyses manuscript (20). AAS and citation counts were higher in open-access journals than in non-open-access journals, but these differences were insignificant. Likewise, Hassona et al., claimed no significant difference between open and non-open access journals in terms of AAS (15). Maggio et al., demonstrated a positive association between online attention and public accessibility of the articles with health profession education content (21). Virtually all of the articles were published in Q1 journals. Highly discussed topics in the included study were molecular mechanisms and genetics (about 30%). Among four types of tumors, prostate cancer was of interest to the majority of studies. We thought this was not surprising because of the higher burden and prevalence of prostate cancer than other types.    

Despite the many benefits of Altmetric, it encompasses a variety of problems that should be paid attention to; First, Altmetric measures the quantitative influence of an article in social media and would not measure the quality of research outcomes or influences. The method for calculating the Altmetric score is designed based on the beliefs of the developer of this method for each online. Bornmann et al. demonstrated that Mendeley and Twitter mentions have a superior association with citations; thus, they may have different contributions to the Altmetric score. Likely, in the present study, the impact of Twitter on social attention was considerable. Second, Altmetric scores can be manipulated conveniently by using fake Twitter accounts or robots. Therefore, may Altmetric scores not be fully trustable (22-25). However, in the present study, Altmetric scores were calculated using Altmetric explorer which is less prone to manipulation among different means for measuring Altmetric. Third, due to discrepancies in penetration and usage of the Internet worldwide, Altmetric essentially does not indicate the online attention of the whole country (26). Finally, there is likely a bias in outcomes of Altmetric, which stems from higher rates of social media usage by younger individuals or authors than older ones. Nevertheless, Zhou et al. showed that the authors' social media size is conversely associated with the authors' popularity (27).

As substantiated progress in the use of social media in the urology field is occurring, several top journals of urology, mainly BJU international and European Urology, have selected editors of social media to expand their online existence (14). These activities confer apparent benefits, including intensifying the influence of social media in academia and leading young researchers and urologists to be aware of social media, which plays a crucial role in many training programs (28-30). 

We acknowledge that our study had some strengths:

  1. As far as we know, no study has evaluated the association between Altmetric scores and citation counts in highly cited urology articles in the urology cancer field of one specific year.
  2. In the present study, we examined articles that were published in 2015. It is not plausible to compare articles of different years because articles published earlier have a higher chance of gaining more citations and Altmetric scores than those published later [13].
  3. We did not limit ourselves to journals that publish only urology subjects, and thus, we did not miss articles in the urology cancer field that were published in non-urology journals.
  4. We performed the study on the articles published in 2015.

It is important to note that Altmetric can measure the impact of literature with higher velocity than traditional citation scores [6]. Since approximately five years passed from the included articles' publication date, the time for articles to gain enough citations was enough; therefore, this led to not overestimate the impact of Altmetric. 

 

Limitations:  

  1. We only used keywords in English since the majority of the research was published in English.
  2. For detecting articles with higher citation numbers, we only used the Scopus database. 

 

Conclusion

For the first time, the present study examined the online attention toward urology cancer field articles with the highest citation number utilizing Altmetric data. The article with the highest AAS was not highly cited, and the article with the highest citation number had not the highest AAS. Moreover, we demonstrated that while there is a weak positive association between citation number and AAS, no significant association was observed between AAS and journals' impact factor, study type, study topic, articles access, type of tumor, and geographic distribution. We think the article's impact will be assessed by a combination of altimetric and citation numbers in the future.

 

Declarations 

Author’s contributions

All authors contributed equally.

 

Acknowledgments

Thanks to the Urology Research Center, Tehran  University of Medical Sciences, Tehran, Iran.

 

Conflict of Interest

The authors declare that there is no conflict of interest.

 

Funding

No funding.

 

Ethical statement

Not applicable.

 

Data Availability

Data will be provided on request.

 

Abbreviations

AAS      Altmetric attention score

IF          Impact factors

Q          Quartiles 

  1. Fitzmaurice C, Dicker D, Pain A, Hamavid H, Moradi-Lakeh M, MacIntyre MF, et al. The global burden of cancer 2013. JAMA oncology. 2015;1(4):505-27.
  2. Siegel RL, Miller KD, Jemal A. CA: a cancer journal for clinicians. Cancer stat. 2016;66:7-30.
  3. Dy GW, Gore JL, Forouzanfar MH, Naghavi M, Fitzmaurice C. Global burden of urologic cancers, 1990–2013. European urology. 2017;71(3):437-46.
  4. Aghamir SMK, Nasir Shirazi M, Khatami F. A Systematic Review of Circulating Tumor Cells in Renal Cell Carcinoma. Translational Research in Urology. 2021;3(1):10-8.
  5. Jemal A, Siegel R, Ward E, Hao Y, Xu J, Thun MJ. Cancer statistics, 2009. CA: a cancer journal for clinicians. 2009;59(4):225-49.
  6. Nocera AP, Boyd CJ, Boudreau H, Hakim O, Rais-Bahrami S. Examining the correlation between altmetric score and citations in the urology literature. Urology. 2019;134:45-50.
  7. Scheffler M, Hirt E. Wearable devices for telemedicine applications. Journal of telemedicine and telecare. 2005;11(1_suppl):11-4.
  8. Lynch C. How do your data grow? Nature. 2008;455(7209):28-9.
  9. Armbrust M, Fox A, Griffith R, Joseph AD, Katz R, Konwinski A, et al. A view of cloud computing. Communications of the ACM. 2010;53(4):50-8.
  10. Restifo NP. A “big data” view of the tumor “immunome”. Immunity. 2013;39(4):631-2.
  11. Elmore SA. The Altmetric attention score: what does it mean and why should I care? : SAGE Publications Sage CA: Los Angeles, CA; 2018. p. 252-5.
  12. Priem J, Taraborelli D, Groth P, Neylon C. Altmetrics: a manifesto. Altmetrics. Retrieved online from, http://altmetrics org/manifesto. 2010.
  13. O'Connor EM, Nason GJ, O'Kelly F, Manecksha RP, Loeb S. Newsworthiness vs scientific impact: are the most highly cited urology papers the most widely disseminated in the media? BJU international. 2017;120(3):441-54.
  14. Calopedos RJ, Garcia C, Rashid P, Murphy DG, Lawrentschuk N, Woo HH. Citation indices for social media articles in urology. BJU international. 2017;119:47-52.
  15. Hassona Y, Qutachi T, Dardas L, Alrashdan MS, Sawair F. The online attention to oral cancer research: An Altmetric analysis. Oral Diseases. 2019;25(6):1502-10.
  16. Dardas LA, Woodward A, Scott J, Xu H, Sawair FA. Measuring the social impact of nursing research: An insight into altmetrics. Journal of advanced nursing. 2019;75(7):1394-405.
  17. Rosenkrantz AB, Ayoola A, Singh K, Duszak Jr R. Alternative metrics (“altmetrics”) for assessing article impact in popular general radiology journals. Academic radiology. 2017;24(7):891-7.
  18. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet‐Tieulent J, Jemal A. Global cancer statistics, 2012. CA: a cancer journal for clinicians. 2015;65(2):87-108.
  19. Bouvard V, Loomis D, Guyton KZ, Grosse Y, El Ghissassi F, Benbrahim-Tallaa L, et al. Carcinogenicity of consumption of red and processed meat. The Lancet Oncology. 2015;16(16):1599-600.
  20. Mainwaring A, Bullock N, Ellul T, Hughes O, Featherstone J. The top 100 most cited manuscripts in bladder cancer: a bibliometric analysis. International Journal of Surgery. 2020;75:130-8.
  21. Maggio LA, Leroux TC, Meyer HS, Artino Jr AR. # MedEd: exploring the relationship between altmetrics and traditional measures of dissemination in health professions education. Perspectives on medical education. 2018;7(4):239-47.
  22. Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet C, Al-Ghalith GA, et al. QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science. PeerJ Preprints; 2018. Report No.: 2167-9843.
  23. Liu J, Adie E. Five challenges in altmetrics: A toolmaker's perspective. Bulletin of the American Society for Information Science and Technology. 2013;39(4):31-4.
  24. Haustein S, Larivière V, Thelwall M, Amyot D, Peters I. Tweets vs. Mendeley readers: How do these two social media metrics differ? IT-Information technology. 2014;56(5):207-15.
  25. Saadati M, Tamehri S, Pour Kamali M, Taheri D. Phosphatase and Tensin Gene Associated with Features of Aggressive Prostate Cancer. Translational Research in Urology. 2021;3(1):32-7.
  26. Coyne M, Regan J. Measuring the social impact of contemporary dysphagia research: an altmetric analysis. Speech, Language and Hearing. 2021;25:1-13.
  27. Zhou JZ, Lemelman BT, Done N, Henderson ML, Macmillan A, Song DH, et al. Social media and the dissemination of research: Insights from the most widely circulated articles in plastic surgery. Plastic and reconstructive surgery. 2018;142(2):555-61.
  28. Manning TG, Christidis D, Zotov P, Lawrentschuk N. " Collaboration Through Communication": The Young Urology Researchers Organisation (YURO). BJU international. 2016;118:6-7.
  29. Rashid P, Gianduzzo TR. Urology technical and non‐technical skills development: the emerging role of simulation. BJU international. 2016;117:9-16.
  30. Azodian Ghajar H, Koohi Ortakand R. The Promising Role of MicroRNAs, Long Non-Coding RNAs and Circular RNAs in Urological Malignancies. Translational Research in Urology. 2022;4(1):9-23.