key: cord-0964922-8o2d5cwo authors: Mirghaderi, Seyed Peyman; Baghdadi, Soroush; Salimi, Maryam; Shafiei, Seyyed Hossein title: Scientometric Analysis of the Top 50 Most-Cited Joint Arthroplasty Papers: Traditional vs Altmetric Measures date: 2022-04-12 journal: Arthroplast Today DOI: 10.1016/j.artd.2022.03.001 sha: f5703d2dccc177828d3166ac49d0513a7371fd1c doc_id: 964922 cord_uid: 8o2d5cwo BACKGROUND: Alternative scientometric measures have introduced a novel view of the scientific literature. This study aimed to identify the top 50 most-cited recent articles in the field of knee and hip arthroplasty, characterize their traditional and alternative scientometric measures, and determine the relationship between traditional and alternative scientometric measures. MATERIAL AND METHODS: The 50 most-cited articles with the term “arthroplasty” in the title that were published between 2015 and 2019 were retrieved from the Scopus database. Alternative scientometric parameters such as Altmetric Attention Score (AAS) from Altmetrics bookmarklet (Altmetrics.com) were retrieved. Scientometric variables such as journal impact factor, first author H-index, and keywords were also extracted. RESULTS: The 50 most-cited papers accrued 7955 total citations, with a mean of 159.10 ± 56.4 citations per article. The overall mean AAS across the papers was 63.4 ± 164.8. The mean first author’s H-index was 23.8 ± 18.9. Papers published in 2017 and 2018 had a significantly higher mean AAS than those published in 2015 and 2016 (35.1 vs 22.5, P = .009). Citation count was weakly correlated with the AAS (correlation coefficient = 0.379, P = .009). Also, AAS had significant correlations with the journal’s impact factor (P < .001). CONCLUSION: We found that the AAS was highest in more recently published papers, while citation count had the opposite trend. The AAS was significantly correlated with the journal’s impact factor and citation count, but the correlation is weak. This suggests that the alternative scientometric measures are complementary to, and not substitutes for, complement traditional measures such as citation count and impact factor. . These alternative measures are designed to provide a different view of the effect of scientific publications, namely the social media attention and distribution. The alternative scientometric measures have emerged in response to the ubiquitous use of social media and online forums and nontraditional news outlets by the authors, their audience, and the laypeople. The Altmetric Attention Score (AAS) was developed by the Altmetric Institute (Altmetric.com) and introduced in 2010, as a tool to evaluate the attention garnered by an article on online platforms [3, 5] . AAS includes Twitter, Facebook, Google Plus, LinkedIn, news outlets, scientific blogs, Wikipedia, Reddit, policy documents, patents, YouTube, Publons and PubPeer, and online reference managers Mendeley and CiteULike. AAS is an overall weighted index of how widely an article is mentioned on social media. Joint arthroplasty is one of the most common elective surgical procedures globally, and the volume of primary and revision total joint arthroplasty (TJA) has skyrocketed in recent decades. It is important to know the implications of the rapid increase of joint arthroplasty volume for current research in this area [6] [7] [8] . The joint arthroplasty literature is an ever-expanding field with a considerable number of published studies and active researchers. The social media outreach of the current arthroplasty literature is largely unknown. Therefore, the purpose of this study was to identify the top 50 most-cited recent articles in the field of joint arthroplasty and characterize their traditional and alternative scientometric measures. We also sought to determine the relationship between traditional and alternative scientometric measures. We hypothesized that the citation count and AAS would not show a strong correlation in the arthroplasty literature, similar to previously reported data in other fields. The Scopus database was searched for articles published in English between January 2015 and December 2019 that had the term "Arthroplasty" in their title. The 50 most-cited papers were selected from this. The Scopus database was selected because it provides a broader and more comprehensive list of journals, papers, and citation numbers. Two reviewers (S.P.M. and M.S.) screened this list of papers to exclude studies not related to hip or knee arthroplasty. Conflicts were resolved by consensus. The same reviewers extracted the Altmetric data subsequently into an excel sheet. This study did not include patient data and was exempt from institutional review board approval. Publication year and citation count, as well as the journal's impact factor, first author's H-index, and keywords, were extracted from the Scopus database and academic-accelerator.com. The citation density, defined as the number of citations per year, was also calculated. Each article was reviewed, and the main topic and study population were identified. The Altmetric data were extracted from the Altmetric bookmarklet (Altmetrics.com) and included AAS and social media coverage. ResearchGate interest score was also recorded for each article from researchgate.net. Data were entered into a Microsoft Excel sheet. All data were extracted during week 1 (May 01, 2022, to November 01, 2022) to minimize missed data. Level of evidence was extracted as same as mentioned in the included studies. If the study does not mention the level of evidence, Journal of Bone & Joint Surgery guidelines were used to assign level of evidence [9] . AAS is calculated as the weighted sum of the article's mentions across different media platforms, with a larger AAS indicating a higher level of social media attention. Table 1 summarizes the platforms contributing to the AAS and their corresponding coefficient value. Unlisted platforms do not contribute to the AAS [10] . Quantitative variables are reported as mean ± standard deviation, and categorical variables are reported as frequency. Continuous variables are compared between 2 groups by the Mann-Whitney test and between >2 groups by Kruskal-Wallis Test due to the nonparametric nature of the data. Data normality was assessed by observing the histogram with a normality curve. For discovering the correlation between continuous variables, the Spearman correlation test was used. The level of significance was set at P < .05. SPSS version 22.0 for windows (IBM, Armonk, NY) was used for all the statistical analyses. After excluding shoulder [11e16] and disc [10] , the 50 mostcited recently published papers were retrieved. All of them were in English, and all were available for a full-text review. Bibliographic data of the selected articles are represented in Table 2 . The alternative metrics data are shown in Table 3 . Table 4 illustrates the citation and AAS data broken down by year, country of origin, and journal characteristics. Overall, the 50 most-cited papers accrued 7955 total citations, with a mean of 159.10 ± 56.4 (range 113-452) citations per article and 32.7 ± 19.6 citations per year per article. The overall mean AAS across the papers was 63.4 ± 164.8 (median ¼ 10.5). The mean first author's Hindex was 23.8 ± 18.9, and each paper had a mean of 6.5 ± 4.7 authors. Not surprisingly, 24 articles on our list were published in 2015. However, the 2 papers with the highest AAS were published in 2018. Furthermore, papers published in 2017 and 2018 (most recent papers) had a significantly higher mean AAS than those published in 2015 and 2016 (149.5 ± 273.1 vs 29.5 ± 77.7, P ¼ .030). No significant difference was observed between them regarding citation number (175.3 ± 87.0 vs 152.8 ± 38.6, P ¼ .75). The mean and median level of evidence was 3.0 for articles, comprising 6/3/30/2/7 papers with a level 1/2/3/4/5 of evidence, respectively. Regarding 2 popular social media platforms, Twitter and Facebook, a median of 7 (range 0-843) and 1 (range 1-23) post was published, respectively. The median impact factor of journals was 4.8 (range 2.1 to 91.2). With 25 publications, the United States institutions contributed the greatest number of papers to our list, followed by the United Kingdom [9] , Australia [4] , and Canada [4] . Figure 1 illustrates the country of origin of the articles assessed in this study. The majority of publications (74.0%) were original research, and retrospective observational studies were predominant with 27 papers. Meta-analyses had the highest mean citation count among all methodologies (184.5 ± 41.1). Studies on knee arthroplasty were more frequent [22] , followed by hip and knee [17] and hip arthroplasty [12] . The Journal of Arthroplasty contributed the greatest number of papers [16] , followed by the Journal of Bone and Joint Surgery [6] , Clinical Orthopedics and Related Research [5] , and Bone and Joint Journal [5] . Functional and radiological outcomes [14] , complications [11] , epidemiologic studies [4] , and TJA volume projection [4] were the most frequent subject across the papers. TJA volume projection studies had a significantly higher number of citations among different topics (287.0 ± 112.3, P ¼ .03). Table 5 summarizes the frequent keywords out of 138 keywords that were used in the papers included in this study. Using spearman correlation, we found a significant correlation between AAS and citation count. However, the correlation was weak (correlation coefficient ¼ 0.379, P ¼ .009, Fig. 2 ). Also, AAS had a significant correlation with Twitter (correlation coefficient ¼ 0.601, P < .001), Facebook (correlation coefficient ¼ 0.560, P ¼ .004), news outlets (correlation coefficient ¼ 0.951, P < .001), dimension (correlation coefficient ¼ 0.381, P ¼ .009), and blog (correlation coefficient ¼ 0.82, P ¼ .046) mentions. The citation count was also significantly and strongly correlated with ResearchGate interest score (correlation coefficient ¼ 0.818, P < .001, Fig. 3 ), but not with the journal's impact factor (P ¼ .052). AAS was significantly correlated with the journal's impact factor 2020 (correlation coefficient ¼ 0.547, P < .001, Fig. 4 ). First author's H-index was not significantly correlated with AAS or citation number (P ¼ .66 and .44). With the popularity of social media platforms, these outlets have emerged as the primary source of news and information with arguably a larger audience than the traditional news sources. It is not surprising that researchers are also increasingly using social media to promote their research, report their findings, and collaborate with colleagues. Considering the limitations of traditional scientometric measures, alternative metrics have been introduced as complementary measures of the publication impact [66] . A growing number of researchers are cognizant of the alternative metrics, and the frequency of published articles with an Altmetric score is rapidly increasing [67] . In this study, we aimed to analyze the characteristics of the top 50 most-cited articles in the field of arthroplasty to investigate their breadth of dissemination through the traditional and alternative scientometric measures. The top 50 most-cited studies in the arthroplasty literature have garnered a total of 7955 citations with a mean of 159.10 ± 56.4 citations per paper. At the same time, the mean AAS was 63.4 ± 164.8, and the median AAS was 10.5. Previous studies in other orthopedic specialties have found a median AAS of 4 to 235, depending on the topic and age of the publication [66, [68] [69] [70] [71] . In line with other authors, we found a significant but weak correlation between the citation number and AAS across the included papers [3,67e69,72,73] . Several studies have reported a weak correlation between citation count and AAS in orthopedics [68, 69] and other fields [3,67,72,73], and occasionally nonsignificant 43 Basques B.A. [58] correlations [70] , suggesting that Altmetrics do not represent the same measure as traditional scientometric measures. Instead, Altmetric measures could act as a complementary tool to inform the social and cultural impact of the literature. While AAS was weakly correlated with citation count, it has moderate correlation with the journal's impact factor (correlation coefficient ¼ 0.547, P < .001, Fig. 4 ). This may stem from the reader's tendency to share articles from the journals with a higher impact factor. Although a similar trend was found in total knee literature, a correlation between AAS and impact factor was not found in sports science and total hip arthroplasty literature [71, 72, 74] . High-impact journals may be more active in engaging with social media, or the quality of studies may play a role in this association. Kunze et al. found that high methodologic quality and a lower rate of bias were significant predictors of a higher AAS in the arthroplasty literature [68] . Compared with citation count, AAS is considered a quantitative variable assessing a paper's more immediate impact attraction on readers and the intended audience [75] . However, since not every author is active on social media, more active authors will generate a higher AAS for their publications [68] . With the continued growth of the social media outreach of the scientific literature, this effect will likely be minimized in the future. Citation count is classically delayed by 1-2 years after publication, which is not the case with Altmetric measures. Interestingly, we found that recently published papers (2017-2018) had a significantly higher AAS than papers published in 2015-2016 (149.5 ± 273.1 vs 29.5 ± 77.7, P ¼ .030). This shows that not only the Altmetric measures do not suffer from the delay observed in traditional scientometric measures but also the authors could also be more attentive to social media recently [76] . We found that randomized controlled trials had a higher mean AAS (309.2 ± 411.3) although this did not reach statistical significance. Previous authors have also shown that prospective studies attract more interest on social media [66] . Interestingly, review articles, including meta-analyses, had the highest citation count, but not a higher AAS [77] . The Journal of Arthroplasty contributes to most of the included studies ( [68] . The mean AAS was 8.6, and the mean citation count was 15. AAS was significantly associated with citations (b ¼ 0.16; P < .0001). They also found that publications from North America and studies concerning validity/reliability measurement gained more social media attention, as measured by AAS. They also noted that studies with more citations are more likely to be mentioned on Twitter, Facebook, and news outlets [68] . We acknowledge several limitations to our study. First, we only included articles with the term "arthroplasty" in their title, whereas it is possible that a highly cited publication did not have this term in its title. Also, we only searched through Scopus to minimize redundancies and duplicate citations, with the downside of being less comprehensive. However, we did not aim to do a systematic review. Finally, we included papers published in 2015-2019 in this study. While this may limit the traditional citation count, the alternative scientometric measures are relatively new and are not applicable to older studies. Despite these limitations, we managed to identify the most impactful articles in the field of arthroplasty. The authors suggest further studies to distinguish the most noteworthy articles in other fields of orthopedic surgery to guide future research. In this study, the top 50 most-cited papers in the field of arthroplasty were identified. Traditional and alternative scientometric measures were extracted and compared between studies. We found that the AAS was highest in more recently published papers, while citation count had the opposite trend. Also, AAS was significantly correlated with the journal's impact factor (moderate) and citation count (weak). Meta-analyses and volume projection studies garnered the most citations. Additionally, we found a weak correlation between AAS and citation count, which suggests that the alternative scientometric measures are complementary to, and The authors declare that there are no conflicts of interest. Alternative article-level metrics: the use of alternative metrics in research evaluation The evolution of current research impact metrics: from bibliometrics to altmetrics? 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