Number Of Cited Articles Research Articles

The Altmetric Attention Score Is Associated With Citation Rates and May Reflect Academic Impact in the Total Joint Arthroplasty Literature.

Background: Given the increasing interest and potential use of social media for the promotion of orthopedic literature, there is a need to better understand Altmetrics. Purposes: We sought to determine the relationship between the Altmetric Attention Score (AAS) and the number of citations for articles on total joint arthroplasty (TJA) published in orthopedics journals. We also sought to determine the predictors of greater social media attention for these articles. Methods: Articles on TJA published in Bone and Joint Journal (BJJ), Journal of Bone and Joint Surgery (JBJS), Clinical Orthopedics and Related Research (CORR), Journal of Arthroplasty, Journal of Knee Surgery, Hip International, and Acta Orthopaedica in 2016 were extracted (n = 498). One-way analysis of variance with Bonferroni corrections was used to compare AAS and citations across journals. Multivariate regressions were used to determine predictors of social media attention and number of citations. Results: The mean AAS and number of citations were 7.5 (range: 0-289) and 16.7 (range: 0-156), respectively. Significant between-group effects were observed according to journal for AAS and number of citations. Publishing an article in JBJS was the strongest predictor of higher number of citations. Publishing an article in BJJ was the only independent predictor of higher AAS, while publishing an article in JBJS or CORR trended toward statistical significance. A higher AAS was a significant predictor of a higher number of citations. Number of citations and number of study references were positive predictors of greater social media attention on Twitter and Facebook. Conclusions: In articles on TJA published in 7 journals in 2016, a higher AAS was a associated with a higher number of citations. Various bibliometric characteristics were found to be significantly associated with greater social media attention; the most common influences were number of citations and number of references. Researchers in orthopedics can use this information when considering how to assess the impact of their work.

Analysis of Update Mapping in Science Learning Media Research: Bibliometric Analysis Based on Google Scholar Data

This article presents a review of bibliometric analysis on the topic of science learning media research. The aim of this research is to identify relevant research and the latest research on the research topic being analyzed. The method used in this research is descriptive quantitative with bibliometric data approach. Research data collection is carried out on the Google Scholar page with the help of Publish or Perish (PoP) software using the keyword "science learning media". Search is limited to the 2019-2021 range and the number of search results is limited to 100. Data analysis and visualization using VOSviewer software. The result is the number of article citations is 328 citations with an average of 164 citations/year and 3.64 citations/articles. IOPSCIENCE is the most productive publisher with the highest number of articles, which is 23 articles. Bibliometric visualization of network maps based on text-mining analysis resulted in 24 interconnected words grouped into 4 clusters and network maps based on the authors of the Co-authorsip showed that Alpusari and Hermita were the authors who had the most related with other authors in the topic of science learning media research.

Trends in the Extracorporeal Membrane Oxygenation Literature: A Bibliometric Analysis in the COVID-19 Era.

Extracorporeal Membrane Oxygenation (ECMO) was first used in the 1970s. Its use is increasingly common in critical care and perioperative settings and has gained newfound prominence during COVID-19. To guide future research, we conducted a bibliometric analysis of ECMO literature. Thomson Reuters Web of Science was searched to March 7, 2021. Articles were ranked by total number of citations. Data was extracted from the 100 most cited papers relevant to ECMO for study design, topic, author, year, and institution. Journal impact factor for 2019 and Eigenfactor scores were also recorded. Our search retrieved a total of 18,802 articles. Median number of citations for the top 100 articles was 220 (range 157-1,819). These were published in 34 journals, with first authors originating from 15 countries. The Annals of Thoracic Surgery had the highest number of articles (n = 9) while Lancet publications had the most citations (n = 3,191). Use of ECMO was most commonly observed in cardiogenic shock or acute respiratory distress syndrome. United States had the greatest article output (n = 49). With 10 publications, 2013 was the most prolific year. Using linear regression, when controlled for time since publication, there was no statistically significant relationship between 2019 journal impact factor and number of article citations (p = .09). Top articles in the ECMO literature are of considerable impact and quality. As the United States produced the bulk of the prominent evidence base, and most data were regarding respiratory issues, outsized advances in ECMO may be possible within the United States during the COVID-19 era.

Trends in the Extracorporeal Membrane Oxygenation Literature: A Bibliometric Analysis in the COVID-19 Era

Extracorporeal Membrane Oxygenation (ECMO) was first used in the 1970s. Its use is increasingly common in critical care and perioperative settings and has gained newfound prominence during COVID-19. To guide future research, we conducted a bibliometric analysis of ECMO literature. Thomson Reuters Web of Science was searched to March 7, 2021. Articles were ranked by total number of citations. Data was extracted from the 100 most cited papers relevant to ECMO for study design, topic, author, year, and institution. Journal impact factor for 2019 and Eigenfactor scores were also recorded. Our search retrieved a total of 18,802 articles. Median number of citations for the top 100 articles was 220 (range 157–1,819). These were published in 34 journals, with first authors originating from 15 countries. The Annals of Thoracic Surgery had the highest number of articles (n = 9) while Lancet publications had the most citations (n = 3,191). Use of ECMO was most commonly observed in cardiogenic shock or acute respiratory distress syndrome. United States had the greatest article output (n = 49). With 10 publications, 2013 was the most prolific year. Using linear regression, when controlled for time since publication, there was no statistically significant relationship between 2019 journal impact factor and number of article citations (p = .09). Top articles in the ECMO literature are of considerable impact and quality. As the United States produced the bulk of the prominent evidence base, and most data were regarding respiratory issues, outsized advances in ECMO may be possible within the United States during the COVID-19 era.

Long-term Association of Altmetric Attention Scores With Citations in Selected Major Pharmacy Journals

Objective. To determine the long-term change in the Altmetric Attention Score (AAS) and its components, as well as the impact of higher AAS on citation count for articles published in major pharmacy journals.Methods. This study evaluated articles from pharmacy journals ranked in the top 10% according to their AAS in the year 2017. Correlation between the AAS and number of citations (through November 2020) was assessed using the Spearman's correlation test. A Kruskal-Wallis 1-way analysis of variance was used to compare the AAS across journals.Results. The median three-year AAS and citation count per article was 20 (25th, 75th percentile=15, 28) and 11 (6, 18), respectively. Between November 2018 and November 2020, there was no significant change in the median AAS for the 137 included articles. The only change in the AAS components was an increase in the number of Mendeley readers (22 [13, 34]). The median number of citations per article also increased (8 [4, 14]). We found a significant association between the three-year AAS and the three-year number of citations. The three-year number of Mendeley readers was associated with an increase in the 3-year number of citations. The mean three-year AAS was highest with articles published in the Journal of the American Pharmacists Association, while the mean three-year number of citations was highest for articles published in PharmacotherapyConclusion. Higher AAS scores appear to be associated with the number of citations for articles published in major pharmacy journals within three years of publication.

Social Media and Academic Impact: Do Early Tweets Correlate with Future Citations?

This study aims to determine whether social media platforms (SMPs) can influence article impact as measured by citations. This is a cross-sectional study that analyzed articles published in the top ten otolaryngology journals by the Eigenfactor score in January 2015. Total accumulated twitter mentions and citations were recorded in 2021. The main outcomes examined the difference in citations, tweets, article types, and author counts accumulated over a 5-year period for all articles that were either tweeted or non-tweeted. 3094 articles were included for analysis. The average article was cited 11.2 ± 13.2 times and tweeted 2.10 ± 4.0 times. Sixty-four percent of the articles had at least one tweet. Over the study period, there was a statistically significant difference in mean number of citations between tweeted articles (12.1 ± 15.0) vs non-tweeted articles (9.6 ± 10.5) citations, representing a 26% difference (P < .001). Review articles had the highest mean citations (19.4 ± 23.4), while editorials had the lowest mean citations (2.8 ± 6.9). Tweets peaked in the year of publication, but citations continued to rise in the subsequent years. Tweeted articles' peak citation rate change was +1.27 mean citations per year, compared to +.99 mean citations per year in non-tweeted articles. The mean author count in tweeted articles (5.40 ± 3.1) was not significantly different than mean author count in non-tweeted articles (5.19 ± 2.65, P = .0794). These data suggest a moderate correlation between tweets and article citations, but a clear difference in the number of citations in articles tweeted vs those with no tweets. Thus, dissemination of knowledge may be impacted by social media platforms such as Twitter.

BIBLIOMETRIC ANALYSIS OF JOURNAL OF ETA MARITIME SCIENCE

Bu çalışmada, The Journal of ETA Maritime Science dergisinde 2013 yılından 2020 yılının 2. sayısına kadar yayımlanan, hakem denetimli makaleler bibliyometrik özellikleri açısından incelenmiştir. Denizcilik alanına yaptığı yayımlarla katkıda bulunan dergi, 2016 yılına kadar yılda 2 sayı yayımlarken, 2016 yılında ve sonrasında yılda 4 sayı yayımlamaktadır. Araştırma kapsamında hakem denetimli yayınlanmış 153 makaleye ait veriler, Excel programına aktarılmıştır. Excel’ de oluşturulan konu başlığına göre 17 sutun oluşturulmuştur. Her bir makaleden elde edilen bilgiler bu başlıklar altında sınıflandırılmıştır. Toplanan bu bilgilerden yine Excel yardımıyla hesaplamalar yapılmış, grafikler ve tablolar oluşturulmuştur. Bunun yanında Maxqda 2020 programı kullanılarak, Excel üzerinde toplanan veriler bu programa aktarılmış ve makale başlıklarının kelime frekans tablosu çıkarılıp, kelime bulutu oluşturulmuştur. Yapılan incelemeler sonucunda; yıl bazında en fazla makale 29 adet çalışma ile 2017 yılında yayımlanmıştır. Yıllık ortalama yayınlanan makale sayısı 19,15’dir. Yayınlanan makalelerin %57’si Türkçe, %43’ü İngilizce’dir. Makalelerin ortalama sayfa sayısı 12,4 iken; makakalelerin en uzunu 25 sayfa, en kısası 2 sayfadır. Makalelerin ortalama kaynakça sayısı 26,9’dur. Toplam 363 yazardan; 283’ü erkek, 60’ı kadındır. En fazla yayın yapan kurum 82 yazarla Dokuz Eylül Üniversitesi’dir. Makale yazarlarının %87,98’i Türk üniversitelerinde görev yapmaktadır. Konu başlıklarına göre makaleler incelendiğinde, 37 makaleyle en fazla Gemi Makineları alanında makale yazılmıştır. Makalelerin %60’ında nicel, %29’unda nitel ve %11’inde karma araştırma yöntemi kullanılmıştır. Makale başlıklarının kelime frekansı incelendiğinde, derginin amacı bakımından en yüksek frekansa “Gemi” kelimesi sahipken, kapsam bakımından en yüksek frekansa “Analizi” kelimesi sahiptir.

Using Kano diagrams to display the most cited article types, affiliated countries, authors and MeSH terms on spinal surgery in recent 12\xa0years

BackgroundCitation analysis has been increasingly applied to assess the quantity and quality of scientific research in various fields worldwide. However, these analyses on spinal surgery do not provide visualization of results. This study aims (1) to evaluate the worldwide research citations and publications on spinal surgery and (2) to provide visual representations using Kano diagrams onto the research analysis for spinal surgeons and researchers.MethodsArticle abstracts published between 2007 and 2018 were downloaded from PubMed Central (PMC) in 5 journals, including Spine, European Spine Journal, The Spine Journal, Journal of Neurosurgery: Spine, and Journal of Spinal Disorders and Techniques. The article types, affiliated countries, authors, and Medical subject headings (MeSH terms) were analyzed by the number of article citations using x-index. Choropleth maps and Kano diagrams were applied to present these results. The trends of MeSH terms over the years were plotted and analyzed.ResultsA total of 18,808 publications were extracted from the PMC database, and 17,245 were affiliated to countries/areas. The 12-year impact factor for the five spine journals is 5.758. We observed that (1) the largest number of articles on spinal surgery was from North America (6417, 37.21%). Spine earns the highest x-index (= 82.96). Comparative Study has the highest x-index (= 66.74) among all article types. (2) The United States performed exceptionally in x-indexes (= 56.86 and 44.5) on both analyses done on the total 18,808 and the top 100 most cited articles, respectively. The most influential author whose x-index reaches 15.11 was Simon Dagenais from the US. (3) The most cited MeSH term with an x-index of 23.05 was surgery based on the top 100 most cited articles. The most cited article (PMID = 18164449) was written by Dagenais and his colleagues in 2008. The most productive author was Michael G. Fehlings, whose x-index and the author's impact factor are 13.57(= √(13.16*14)) and 9.86(= 331.57/33.64), respectively.ConclusionsThere was a rapidly increasing scientific productivity in the field of spinal surgery in the past 12 years. The US has extraordinary contributions to the publications. Furthermore, China and Japan have increasing numbers of publications on spinal surgery. This study with Kano diagrams provides an insight into the research for spinal surgeons and researchers.

A bibliometric analysis of international publications and citation trends of articles in mental health produced by Chinese institutions in mainland China (1990-2019).

The recognition of the importance of mental health as a health-target to be pursued at a global level has received additional theoretical legitimacy through its inclusion in the United Nations (UN) 2030 Agenda for Sustainable development. The theoretical axiom - mental health as a development priority - is today expected to drive the focus of research efforts and orient the future policies and funds expenditures, at global and local level. According to these premises, it becomes central to track the international trajectories of mental health research and how the different countries are progressively defining their role in the global mental health effort. In this paper we have focused on China. In light of heavy burden of mental and substance use disorders affecting this country, and considering the impact of this burden at a global level, a basic research was conducted with the main aim of offering a preliminary view on the Chinese scientific activity within the context of global mental health research. This study is not intended to assess the quality of Chinese research, but merely to retrieve and measure a specific output of this research: the articles in mental-health produced by Chinese institutions based in mainland China, published in international journals. Although the publication of articles in internationally indexed journals in not exhaustive of China's scientific activity in global mental health, it is nevertheless informative of the production of new knowledge, it allows an assessment of the impact of this knowledge at the global scientific community level and it could partially reflect the Chinese capacity to benefit from research conducted globally. In consideration of the very limited number of studies assessing the collective evidence of Chinese research in mental health, we developed our analysis with the purpose of providing a preliminary picture of the Chinese contribution, in terms of scientific publications, in this field of knowledge. Our research performs a bibliometric analysis on the articles in mental-health produced by Chinese institutions based in mainland China and published in English-language SCI-E and SSCI journals from 1990 to 2019, providing a measure of the impact of this research at the global scientific community level. We performed a search on the Web of Science (WoS) using seven mental and substance use disorders according to their global prevalence, as per estimates of the Global Burden of Disease 2019. A dataset including the overall number of publications for seven diseases was created and exported in InCites. The dataset was analysed on the basis of 11 research areas (WoS categories) to which mental health topic is associated in SCI-E and SSCI journals in WoS. We further extracted publications that originated in mainland China. The citational trends over time are calculated with nonparametric test for trends across ordered groups. An evaluation of the impact of the Chinese scientific production is provided by the number of citations received at the global scientific community level, both as average and percentile. From 1990 to 2020 the overall Chinese scientific production in mental health has been generally increasing, reaching the highest growth in the last decade. A statistically significant increase (p < 0.001) is reported for articles produced by Chinese institutions in mainland China regarding 'depression*', 'bipolar disorders*' and 'schizophrenia*'. Published Chinese research is mostly included in SCI-E journals. There is a substantial overlap regarding the average number of citations for articles in mental-health produced by Chinese institutions and the rest of the world. Despite the increasing trend, the percentage of articles in mental health produced by Chinese institutions in mainland China on the overall scientific production worldwide is below 10%. Notwithstanding a substantial increase in the last decade, the volume of Chinese publications appears to be very limited, thus resulting in a relatively low impact at a global level. These results are affecting the potential contribution of Chinese research in the global mental health effort.

Achievements in Research and Teaching—Investigating the Effect of Age and Gender

Purpose. This study deals with the research and teaching achievements of faculty members as affected by demographics. The topic of age of employment, as well as age of retirement, is one that occupies modern society, both in research and with regard to the significance of age for the labor world in practice. Gender-related differences regarding this issue have occupied the academic literature as well. In the current study we examined the impact of age and gender on research output (by number of citations) and satisfaction with teaching (by student survey scores).&#x0D; &#x0D; Method. Empirical data on article citations and teaching surveys were gathered for 315 senior faculty members at Ariel University, Israel. Structural equation modeling was used to test the model&amp;rsquo;s goodness-of-fit. Findings indicate that the higher the age of the faculty members the greater their output. The opposite is true of teaching surveys. Age appears to contribute to the number of article citations and less so to students&amp;rsquo; satisfaction with the teaching of senior faculty members. A sensitivity analysis was also performed. Men were found to have a higher number of citations than women. &#x0D; &#x0D; Results and discussion. The research findings have practical meaning. The achievements of academic faculty members are undoubtedly age-dependent: seniority and experience contribute to research (number of citations) and do not contribute to teaching as measured by student satisfaction. The question is whether in the modern era, when quality of life and life expectancy are on the rise, there is room to breach the employment age limitations in academia, particularly for high academic producers, in light of their achievements.

Digital transformation in the area of health: systematic review of 45 years of evolution

This study aims to explore the potential of existing digital solutions to improve the quality and safety of healthcare and analyse the emerging trend of digital medicine. Systematic Literature Review (SLR) of the period 1973–2018. To select articles, a prioritization index is proposed, aggregating the characteristics of the score of journals (2017 basis), number of article citations and year of publication, through the Simple Multi-attribute Rating Technique Exploiting Ranks (SMARTER) method. Of the 749 articles listed, 53 were selected and analysed. The majority of research in digital medicine has been focused on integrated management, electronic medical records and medical images, but a research trend is observed in new areas such as virtual service, the use of portable devices as instruments for monitoring the patient and concern about the privacy of medical documents. Categorization in seven areas was carried out, focusing on integrated management of information technology in health, medical images, electronic medical records, development of portable, mobile devices in health, access to e-health, telemedicine and privacy of medical data. Longitudinal analysis of systematized studies, keeping the focus on digital technological developments in health is a trend to extend researchers’ vision, by providing important indications for further study. Suggestions for future investigations are formulated for each identified category. This study reveals great possibilities for SLR with the use of Simple Multi-attribute Rating Technique Exploiting Ranks (SMARTER).

Critical Evaluation of the Methodologic Quality of the Top 50 Cited Articles Relating to Knee Dislocation and Multiligamentous Knee Injury.

Background:Many studies have evaluated the management of knee dislocations (KDs) and multiligamentous knee injuries (MLKIs). However, no study to date has analyzed the quality of the most cited articles in this literature.Hypothesis:There is a positive correlation between the number of article citations in the KD and MLKI literature and their methodologic quality.Study Design:Systematic review.Methods:The Web of Science online database was searched to identify the top 50 cited articles in KD and MLKI care. Demographic data were recorded for each study. The Modified Coleman Methodology Score (MCMS) and the Methodological Index for Non-randomized Studies (MINORS) were used to analyze the methodological quality of each article. Spearman correlation coefficients (r s) were then calculated.Results:The articles identified were published between 1958 and 2015 in a wide variety of peer-reviewed journals (n = 16). The majority of study level of evidence (LOE) was of low quality (level 5, 16%; level 4, 54%; level 3, 16%; level 2, 14%). There were no studies of level 1 evidence. The mean MCMS and MINORS scores were 29.0 (SD, 19.1; range, 3-72) and 6.1 (SD, 3.7; range, 0-14), respectively. No significant correlation was identified between the number of citations and the publication year, LOE, MCMS, or MINORS (r s = 0.123 [P = .396]; r s = 0.125 [P = .389]; r s = 0.182 [P = .204]; and r s = 0.175 [P = .224], respectively). Positive correlations were observed between improved MCMS and MINORS scores and more recent year of publication (r s = 0.43 [P = .002]; r s = 0.32 [P = .022]) as well as improved study LOE (r s = 0.65 [P < .001]; r s = 0.67 [P < .001]).Conclusion:The top 50 cited articles on KD and MLKI care consisted of low LOE and methodological quality, with no existing level 1 articles. There was no significant correlation between the number of citations and publication year, LOE, or study methodological quality. Positive correlations were observed between later publication date and improved methodological quality.

Relationship between Altmetrics and Citations A Study on the Highly Cited Research Papers

&#x0D; &#x0D; &#x0D; The present study aims to assess highly cited articles using altmetrics and citations and identify the relationship between them. The statistical population consists of all the highly cited articles on surgery indexed on the Web of Science. The number of article citations was measured using the Web of Science and the altmetric score of the articles using the Altmetric Bookmarklet. The analysis of the data was carried out using descriptive statistics and Spearman’s correlation coefficient. Of the 1077 highly cited surgery articles, 62.74 per cent had an altmetric score. The highest number of received citations was 1787, and the highest altmetric score was 2019. A positive and significant correlation was observed between the number of citations and the policy-making documents, Wikipedia citations and CiteULike (P&lt;0.001). A positive but non-significant correlation was also observed between the number of citations and the number of Mendeley readers (r=0.02, P&gt;0.05). A poor, negative and significant correlations were observed between the number of citations and the overall altmetric score of the highly cited surgery articles (r=-0.235, P&lt;0.001). The findings may be due to the different pattern of using social media by the surgery researchers compared to the researchers of other fields. Altmetrics can only be used to complement citations and not replace them.&#x0D; &#x0D; &#x0D;

Short‐term impact of Altmetric Attention Scores on citation counts in selected major pharmacy journals

AbstractIntroductionThe impact and quality of a faculty member's publications is a key factor in promotion and tenure decisions. The Altmetric Attention Score (AAS) is an objective score frequently used to determine the reach of a published work across the World Wide Web and social media. The utility of the AAS in pharmacy practice journals is not well understood.ObjectiveTo determine the short‐term impact of a higher AAS on citation count for articles published in major pharmacy journals.MethodsThis cross‐sectional study evaluated articles from pharmacy journals ranked in the top 10% according to the AAS in the year 2017. Individual sources of attention that determined the AAS were also evaluated. Correlation between the AAS and the number of citations (through November 2018) was assessed using the Spearman's correlation (rs) test. A Kruskal‐Wallis one‐way analysis of variance was used to compare the AAS between journals.ResultsSix major pharmacy journals were identified. A total of 1376 articles were published in 2017, and 137 of these represented the top 10% with the highest AAS. The median AAS was 19 (interquartile range 15‐28). Twitter.com and Mendeley.com were the most common sources of attention. Over half (56.2%) of the articles were original investigations and 49.8% were either cross‐sectional, qualitative, or cohort studies. No significant correlation was found between the AAS and citation count (rs = 0.07, P = .485). Mendeley was the only attention source that correlated with the number of citations (rs = 0.486, P &lt; .001). The median AAS varied widely between each journal (P &lt; .001).ConclusionsThe median AAS of 19 suggests articles published in selected major pharmacy journals are near the top 5% of all scientific output. However, we found no short‐term correlation between the AAS and the number of citations for articles published in major pharmacy journals in the year 2017.

Bibliometric analysis of research on the trends in autophagy.

BackgroundAutophagy is an important mechanism to maintain homeostasis in cells. It has been linked with ageing and many currently incurable diseases, including heart disease, cancer, myopathies, neurodegeneration, and diabetes. Autophagy research is very important for identifying better treatments. This study aimed to explore the hotspots of autophagy research published from different countries, organizations, and authors.MethodsBetween 1962 and 2018, articles published about autophagy were identified in the Web of Science database. The total and annual number of articles, citations, impact factor, Hirsch (H)-index, number of article citations, productive authors, and involved journals were collected for quantitative and qualitative comparisons.ResultsFrom 1962 to 2018, 18,811 autophagy-related articles written in English were published. Most were from China (6,731). The United States dominated in citation frequency (391,030) and h-index (264). Among related journals, Autophagy published the most articles (1,388), followed by Plos One (585) and Oncotarget (392). Daniel Klionsky was the most productive author, with 171 publications. The article “LC3, a mammalian homologue of yeast Apg8p, is localized in autophagosome membranes after processing” was cited most frequently. The top-ranked keyword was “degradation” of macroautophagy.ConclusionsPublication of articles about autophagy has increased notably from 1962 to 2018, and has increased annually. The general quality of publications from China is still in need of improvement. Autophagy research has shifted gradually from basic studies to clinical studies in recent years.

Diabetic Foot Disease Research in Gulf Cooperation Council Countries: A bibliometric analysis.

Countries in the Gulf Cooperation Council (GCC) have some of the highest prevalence rates of diabetes mellitus (DM) in the world; however, DM-related research activity in this region is limited. This study aimed to examine trends in published diabetic foot disease (DFD) research undertaken in GCC countries. This bibliometric study was conducted in December 2016. Standardised criteria were used to search the MEDLINE® database (National Library of Medicine, Bethesda, Maryland, USA) for DFD-related publications authored by GCC researchers between January 1990 and December 2015. Various details such as the type of publication, journal impact factor and number of article citations were analysed. A total of 96 research articles were identified. The number of publications per year significantly increased from nil prior to 1991 to 15 in 2015 (P <0.01). Basic/clinical research articles accounted for 96.9% of publications, with three randomised controlled trials and no systematic reviews/meta-analyses. When adjusted for population size, Kuwait had the highest number of published papers per year, followed by Bahrain and Qatar. The number of authors per publication significantly increased during the study period (P = 0.02). However, 16 articles (16.7%) had no citations. The median journal impact factor was 0.15 ± 1.19 (range: 0-6.04). The number of publications authored by GCC researchers has risen in recent years. Increasing research funding and promoting collaboration between local and international researchers and institutes are recommended to bolster research regarding DFD prevention and management in GCC countries.

Twitter Mentions and Academic Citations in the Urologic Literature

ObjectiveTo quantify the relationship between the number of Twitter mentions and the number of academic citations a urologic publication receives. Materials and MethodsTwo hundred and thirteen papers from 7 prominent urologic journals were examined 37 months after publication. Articles were evaluated with 2 citation based “bibliometrics” (Scopus, Google Scholar) and Twitter mentions were tracked using the Altmetric Bookmarklet. The number of article citations and Twitter mentions were compared using one-way Analysis of variance (ANOVA) and bivariate fit analysis. ResultsSeventy-three percent of articles had at least 1 Twitter mention. Forty-two percent of Twitter mentions occurred within the first week of the online publication date. Articles mentioned on Twitter had 2.0-fold more Scopus citations (P <.01), and 2.3-fold more Google Scholar citations (P <. 01) compared to articles with no Twitter mentions. Female urologic articles had the greatest number of Twitter mentions (5.7 mentions/article) while pediatric urology had the fewest mean number of Twitter mentions (0.8 mentions/article). A total of 8.9% of papers were tweeted by their authors. Author tweeted articles were associated with a 12.3 (2.0-fold) and 15.5 (1.8-fold) mean citation increase for Scopus and Google Scholar (P <. 01 and P = . 01) compared to articles not shared by their authors on Twitter. ConclusionThe majority of urologic publications are being shared on Twitter. The number of citations a urologic publication receives up to 3 years after release is positively associated with the number of mentions it has on Twitter. Twitter activity may be an early indicator of ultimate academic impact of an academic urologic paper.

Correlation Between Quality of Evidence and Number of Citations in Top 50 Cited Articles in Rotator Cuff Repair Surgery.

Background:The number of article citations has been used as a measure for the impact of an article in the medical literature, with little emphasis on quality.Purpose:To (1) identify the top 50 most cited articles related to rotator cuff repair surgery, (2) determine whether there was a correlation between the top cited articles and level of evidence, and (3) determine whether there was a correlation between the top cited articles and study quality.Study Design:Cross-sectional study.Methods:The Web of Science and Scopus online databases were searched to identify the top 50 cited articles in rotator cuff repair surgery. Methodological quality was analyzed for each article using the Modified Coleman Methodology Score (MCMS), Jadad scale, and Methodological Index for Non-Randomized Studies (MINORS). Correlation coefficients were calculated to determine the degree of correlation between the top cited articles and level of evidence and study quality using each quality score.Results:The mean number of citations for each article in each of the 2 databases was 319 ± 187 (range, 177.5-1033.5). Twenty-nine articles (58%) were from the United States. The most common level of evidence was level 4 (54%), with 3 (6%) articles being level 1. There was no significant correlation between the mean number of citations and level of evidence (r s = –0.28), the MCMS (r s = –0.29), and the MINORS score (r s = –0.25). There was a weak negative correlation between the mean number of citations and the Jadad score (r s = –0.36).Conclusion:The top 50 cited articles in rotator cuff repair surgery comprise a variety of years, journals, countries of origin, and study types. Despite being the 50 most cited articles, the most common type of article was the level 4 case series with a poor mean quality assessment score. There was no significant correlation between the mean number of citations and level of evidence or methodological quality using a variety of scores.

Linear Regression Analysis of Title Word Count and Article Time Cited using R

There is a common idea, that title variables like article title length would influence article citations. The aim of the present study was to investigating possible relationship between size of article title and number of article citations by minimizing scientometric variable biases. A dataset containing ~100,000 virological literatures was obtained from Web of Science InCiteTM database from 1997 to 2016. Variables, Title size (TWC), Year (YoP), Source (JS), and Publisher were selected. In addition number of times article is cited ‘Time Cited’ (TC) was retrieved from Web of Science InCiteTM. Linear regression analysis was performed between variables and TC using R for a possible prediction model for TC. Result has shown a robust standard error corrected linear regression with only 30.6% power of predictability. Furthermore, it was found that TC, YoP, and JS have meaningful potential in the linear model. Moreover, TC is negatively correlated with YoP, JS, and positively with TWC. As a result, size of article title, years passed since publication and the journal in which article accepted are good but not sufficient predictor of article citations. In addition, article is a multi-characteristic subject and other predictors can be supposed. However, we think that finding an efficient statistical linear predication model for TC, by increase of articles citation, is overwhelming.

The rapid internationalization of Annals of Pediatric Endocrinology &amp; Metabolism as evidenced by journal metrics

PurposeUsing journal metrics, this paper explores whether Annals of Pediatric Endocrinology & Metabolism has internationalized 4 years after changing its language to English only.MethodsFrom the journal's website and the Web of Science Core Collection, the following metrics were counted or calculated: Number of citable articles, countries of authors and editorial board members, total citations, impact factor, countries of citing authors, citing journal titles, and Hirsch index.ResultsFrom 2012 to 2017, 208 articles were citable. The authors had affiliations in 7 countries and the editorial board members in 14 countries. From 2014 to 2017, the total citations each year were 8, 81, 141, and 61; and the impact factors from 2014 to 2016 were calculated as 0.05, 0.987, and 1.165. The citing authors were from 60 countries, among which the United States, China, South Korea, Italy, and Germany were most common. The journal was cited by 215 journal titles. The Hirsch index was 7.ConclusionThese journal metrics showed that the journal achieved international status 4 years after changing the journals' language into English only. The journal's language policy successfully enabled the journal to rebrand as an international journal.