Correlation Between Altmetric Attention Scores and Citations for Articles Published in High-Impact Factor Ophthalmology Journals From 2018 to 2019

The 100 Most Impactful Articles on Total Shoulder Arthroplasty: An Altmetric Analysis

Background

To use the top 100 articles pertaining to total shoulder arthroplasty (TSA) to understand the impact that social media platforms have on the dissemination of shoulder research while highlighting bibliometric factors associated with Altmetric Attention Score (AAS) to offer insight into the impact that social media platforms have on the dissemination, attention, and citation of shoulder research publications.

Methods

In June 2023, the Altmetric database was searched using the following PubMed MeSH terms: "total shoulder arthroplasty" or "TSA." Articles with the highest AAS were screened to exclude other topics unrelated to TSA. The top 100 articles that met inclusion criteria were used in the final analysis. Bibliometric factors pertaining to each study were collected for further analysis of article characteristics in accordance with prior studies.

Results

The Altmetric Database query yielded 1,283 studies. After applying our inclusion criteria, the top 118 articles with the highest AAS were identified. The mean AAS was 29.14 ± 42.35, with a range of 13 to 402. The included articles represented 27 journals, with 70 articles attributed to 2 journals: Journal of Shoulder and Elbow Surgery (JSES; 43%) and the Journal of Bone and Joint Surgery (JBJS; 16%). There was a significant increase in AAS for the presence of a conflict of interest (p = 0.042) and open access status (p < 0.01), but no association between the score and citation rate (p > 0.05).

Conclusions

Top articles on TSA, as defined by high AAS, mostly comprise original clinical research performed in the United States or Europe. The presence of a conflict of interest and open access status is associated with an increase in AAS, but there was no association between AAS score and citation rate.

The Most Impactful Articles on the Shoulder Labrum From the United States or Europe, and Decreased Level of Evidence Is Associated With Increased Altmetric Attention Score

Purpose

To use the top 100 articles pertaining to the shoulder labrum to understand the impact that social medial platforms have on the dissemination of shoulder research and to highlight bibliometric factors associated with Altmetric Attention Scores (AAS) to offer insight into the impact that social media platforms have on the dissemination, attention, and citation of shoulder research publications.

Methods

This was a cross-sectional study. In January 2023, the Altmetric database was searched using the PubMed Medical Subject Headings terms "shoulder labrum." Articles with the greatest AAS were screened to exclude other topics unrelated to the labrum of the shoulder. The top 100 articles that met inclusion criteria were used in the final analysis. Bibliometric factors pertaining to each study were collected for further analysis of article characteristics in accordance with previous studies.

Results

The Altmetric Database query yielded 619 studies. The top 100 articles with highest AAS were identified, mean Attestation Score was 24.85 ± 55.51, with a range of 7 to 460. The included articles represented 35 journals, with 57 articles attributed to 3 journals: American Journal of Sports Medicine (AJSM; 29%), Arthroscopy: The Journal of Arthroscopic & Related Surgery (Arthroscopy; 19%), and the Journal of Shoulder and Elbow Surgery (JSES; 9%). There was a significant increase in AAS for every decrease in the numerical Level of Evidence value for a study (P = .011) but no association between score and citation rate (P > 005).

Conclusions

Top articles on the shoulder labrum, as defined by high AAS score, are most commonly original clinical research published in 1 of 3 sports medicine journals and performed in the United States or Europe. A decreased numerical Level of Evidence is associated with an increase in AAS score, but there is no association between AAS score and citation rate.

Clinical Relevance

The increasing amount of science and health information shared freely through open-access journals, online servers, and numerous social media channels makes it difficult to measure the impact of research. Using measures such as the Altmetric Attention Score, in isolation or addition to measures of researcher or journal impact, has the potential to provide comprehensive information about the impact of research in the modern world.

Correlation Between Altmetric Scores and Citation Count in 4 High-Impact Plastic Surgery Journals

BACKGROUND

The Altmetric Attention Score (AAS) aims to determine the impact of research articles throughout the internet and social media outlets. The AAS is a weighted average of the interaction on platforms including Twitter, Facebook, Reddit, and more.

OBJECTIVES

The aim of this study was to investigate the relationship between the AAS and traditional bibliometrics across plastic surgery journals.

METHODS

Articles, number of citations (NOC), and H-index information in Annals of Plastic Surgery (APS), Plastic and Reconstructive Surgery (PRS), Plastic and Reconstructive Surgery Global Open (PRS GO), and Aesthetic Surgery Journal (ASJ) from 2017, 2018, and 2019 were queried with the Scopus Online Tool. AAS metrics were collected with the Altmetric Score Calculator Bookmarklet. Descriptive statistics, Spearman rank-correlation analyses, and analyses of variance were performed to measure associations between NOC and AAS.

RESULTS

A total of 3612 articles were analyzed. NOC was weakly correlated with AAS in APS, PRS GO, and ASJ, and moderately correlated with AAS in PRS. NOC was weakly correlated with Twitter mentions in APS, PRS GO, and ASJ, and moderately correlated in PRS. NOC was weakly correlated with news outlet reporting. The H-index of the first author showed more significant correlations with the AAS than the H-index of the last author.

CONCLUSIONS

NOC and H-index of the first author correlated with AAS in the plastic surgery literature, suggesting AAS may be a useful adjunct to traditional bibliometrics when evaluating the impact and reach of peer-reviewed articles.

Twitter Gynecologic Surgery Journal Club: Impact on Citation Scores and Social Media Attention

STUDY OBJECTIVE

To study the impact of a Twitter-based gynecologic surgery journal club of articles published in the Journal of Minimally Invasive Gynecology (JMIG) on their social media attention and citation scores.

DESIGN

A cross-sectional study.

SETTING

N/A.

PATIENTS

N/A.

INTERVENTIONS

Comparison of citation and social media attention scores was conducted for all articles presented in the JMIG Twitter Journal Club (#JMIGjc), a monthly scientific discussion on Twitter of JMIG selected articles, between March 2018 and September 2021 (group A), with 2 matched control groups of other JMIG articles: group B, articles mentioned on social media but not promoted in any JMIG social media account, and group C, articles with no social media mentions and not presented in #JMIGjc. Matching was performed for publication year, design, and topic in a 1:1:1 ratio. Citation metrics included number of citations per year (CPY) and relative citation ratio (RCR). Altmetric Attention Score (AAS) was used to measure social media attention. This score tracks research articles' online activity from different sources such as social media platforms, blogs, and websites. We further compared group A with all JMIG articles published during the same period (group D).

MEASUREMENTS AND MAIN RESULTS

Thirty-nine articles were presented in the #JMIGjc (group A) and were matched to 39 articles in groups B and C. Median AAS was higher in group A than groups B and C (10.00 vs 3.00 vs 0, respectively, p <.001). CPY and RCR were similar among groups. Median AAS was higher in group A than group D (10.00 vs 1.00, p <.001), as were median CPY and RCR (3.00 vs 1.67, p = .001; 1.37 vs 0.89, p = .001, respectively).

CONCLUSION

Although citation metrics were similar among groups, #JMIGjc articles had higher social media attention metrics than matched controls. Compared with all publications within the same journal, #JMIGjc articles resulted in higher citation metrics.

Top 50 most-cited articles on SMILE surgery between 2010 and 2022: a correlation comparison between conventional bibliometrics and current altmetrics of research impact

PURPOSE

To conduct a bibliometric and altmetric analysis of the top 50 most-cited articles on small incision lenticule extraction (SMILE) surgery and assess its correlations with other metrics.

METHODS

The terms "small incision lenticule extraction" or "SMILE" were searched in the title, abstract, and keywords using Web of Science database. The retrieved articles (n = 927, between 2010 and 2022) were analyzed in-depth using altmetric attention scores (AAS), and traditional metrics (citation numbers of articles, impact factor of journals, and other citation-based metrics). A correlation statistics was performed with metrics. The articles' focus was examined quantitatively and the most prolific parameters were identified. Authorship network and country statistics also was examined.

RESULTS

Citation numbers were between 491 and 45. AASs were between 26 and 0. The altmetric score correlated moderately with citation number (r = 0.44, P = 0.001) and annual mean citations (r = 0.49, P < 0.001), but correlated weakly with impact factor (r = 0.28, P = 0.045), and immediacy index (r = 0.32, P = 0.022). The most articles published from China and the most articles were published in 2014. Modern SMILE surgery was mostly compared to the older LASIK procedure. The highest authorship number of links belonged to Zhou XT.

CONCLUSION

The first bibliometric and altmetric analysis of SMILE research provides novel directions for future work by showing the current research trends, prolific parameters, and zones with potential for the public's attention, providing useful information about the dissemination of scientific knowledge on SMILE in social media and to the general public.

The Correlation between Altmetric Attention Score and Traditional Bibliometrics in Top Nursing Journal Articles

Background. Altmetric Attention Score (AAS) is a quantitative measurement of the online impact of research and has a potential correlation with traditional bibliometrics. However, the correlation for nursing journal articles is still unknown. The objective of the study was to analyze the correlation between AAS and traditional bibliometrics in the top nursing journal articles. Materials and Methods. Articles published in top nursing journals (the journals with the top 20 5-year impact factors) from 2010 to 2019 were included. The correlations between AAS and citations, AAS and Relative Citation Ratio (RCR) score, AAS and Category Normalized Citation Impact (CNCI) value, and AAS and impact factors were analyzed. Statistical analyses were performed using Stata 25.0 software. Results. A total of 15,212 journal articles were included in the study. Very weak correlations were found between AASs and citations [0.124 (95% CI, 0.108–0.14)], AASs and RCRs [0.26 (95% CI, 0.244–0.275)], and AASs and CNCIs [0.207 (95% CI, 0.192–0.223)]. The weak correlations were also found between AASs and impact factors in several journals. The weak correlations between AASs and citations, AASs and CNCIs, and AASs and RCRs were also found for most journals based on subgroup analysis. Conclusions. There is very weak correlations between AASs and traditional bibliometrics in top nursing journal articles. More studies should be conducted to assess how AAS influence bibliometrics, and how they can help manage nursing journal articles and research.