Assessment of the Dissemination of COVID-19–Related Articles Across Social Media: Altmetrics Study

Tornberg, Haley; Moezinia, Carine J; Wei, Chapman; Bernstein, Simone A.; Wei, Chaplin; Al-Beyati, Refka; Quan, Theodore; Diemertg, David J.

doi:10.2196/41388

Cited by 5 publications

(2 citation statements)

References 29 publications

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“…Previous studies have analyzed the attributes of the top COVID-19 articles [ 15 , 16 ], but none have directly compared the AAS scores of COVID-19–related versus non–COVID-19–related articles. We found that despite consisting of only 4% (27/747) of the manuscripts published, the average AAS for COVID-19–related articles was nearly 10-fold higher than non–COVID-19–related articles, which was significant by multivariable analysis ( P <.001).…”

Section: Discussionmentioning

confidence: 99%

Altmetric Analysis of Dermatology Manuscript Dissemination During the COVID-19 Era: Cross-Sectional Study

et al. 2023

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Background Alternative bibliometrics or altmetrics, is a measure of an academic article’s impact on social media outlets, which is quantified by the Altmetric Attention score (AAS). Given a lack of data for altmetric trends during the COVID-19 pandemic, we conducted a comprehensive, multivariable analysis of top dermatology manuscripts published during this time period. Objective We aim to assess (1) the relationship between traditional bibiliometrics and Altmetrics and (2) factors associated with high AAS. Methods All abstracted articles published in the top-5 (ranked by SCImago Journal Rankings) peer-reviewed dermatology journals published in 2021 were included in our study. We collected AAS as the dependent variable and categorical predictor variables included journal title, whether a conflict of interest existed, open access status, whether the article was related to COVID-19 or skin-of-color research, and the type of research (eg, clinical, basic science, review, etc). Numerical predictor variables consisted of the impact factor of journal, total citations, and number of authors. Multivariable linear or logistic regression models were used. Results The relationship between AAS and citation number was significant by multivariable analysis during the COVID-19 pandemic (P<.001). Numerous factors, including studies related to COVID-19, whether the article was open access, title of the journal, and journal impact factor were also independently related to higher AAS (P<.002). Conclusions Our results validate the use of altmetrics as a complement to traditional bibliometrics, especially in times of widespread scientific interest. Despite existing in a complex realm of bibliometrics, there are also discernable patterns associated with higher AAS. This is especially relevant in the era of growing technologic importance and utility to assess the impact of scientific works within the general public.

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Section: Discussionmentioning

confidence: 99%

Altmetric Analysis of Dermatology Manuscript Dissemination During the COVID-19 Era: Cross-Sectional Study

et al. 2023

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“…(https://www.altmetric.com/about-us/our-data/our-sources/) Altmetric attention scores have been found to be associated with citation counts 7,9 and journal impact factor 10 and those articles with higher Altmetric scores (i.e., those promoted online simultaneously) were more likely to be cited in public policy documents 11 . This attention score has also been shown to be significantly higher for Covid-19 related articles than for non-Covid-19 articles in 2020 12 .…”

Section: Introductionmentioning

confidence: 99%

Altmetric coverage of health research in Ireland 2017-2023: a protocol for a cross-sectional analysis

Sharp,

Logullo,

Murphy

et al. 2024

HRB Open Res

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Background Scientific publications have been growing exponentially, contributing to an oversaturated information environment. Quantifying a research output’s impact and reach can cannot be solely measured by traditional metrics like citation counts as these have a lag time and are largely focused on an academic audience. There is increasing recognition to consider ‘alternative metrics’ or altmetrics to measure more immediate and broader impacts of research. Better understanding of altmetrics can help researchers better navigate evolving information environments and changing appetites for different types of research. Objectives Our study aims to: 1) analyse the amount and medium of Altmetric coverage of health research produced by Irish organisations (2017 – 2023), identifying changes over time and 2) investigate differences in the amount of coverage between clinical areas (e.g., nutrition vs. neurology) and, where possible, by study types (e.g., clinical trials vs. evidence syntheses). Methods Using Altmetric institutional access, we will gather data on research outputs published 1 January 2017 through 31 December 2023 from active Irish organisations with Research Organisation Registry (ROR) IDs. Outputs will be deduplicated and stratified by their Australian and New Zealand Standard Research Classification relating to ≥1 field of health research: Biological Sciences, Biomedical and Clinical Sciences, Chemical Sciences, Health Sciences, and Psychology. We will clean data using R and perform descriptive analyses, establishing counts and frequencies of coverage by clinical area and medium (e.g., traditional news, X, etc.); data will be plotted on a quarterly and yearly basis. We will use topic modelling using latent Dirichlet allocation to explore prevalent topics over time. Results and Conclusions Improved understanding of one’s information environment can help researchers better navigate their local landscapes and identify pathways for more effective communication to the public. All R code will be made available open-source, allowing researchers to adapt it to evaluate their local landscapes.

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Altmetric coverage of health research in Ireland 2017-2023: a protocol for a cross-sectional analysis

Sharp,

Logullo,

Murphy

et al. 2024

HRB Open Res

View full text Add to dashboard Cite

Background Scientific publications have been growing exponentially, contributing to an oversaturated information environment. Quantifying a research output’s impact and reach cannot be solely measured by traditional metrics like citation counts as these have a lag time and are largely focused on an academic audience. There is increasing recognition to consider ‘alternative metrics’ or altmetrics to measure more immediate and broader impacts of research. Better understanding of altmetrics can help researchers better navigate evolving information environments and changing appetites for different types of research. Objectives Our study aims to: 1) analyse the amount and medium of Altmetric coverage of health research produced by Irish organisations (2017 – 2023), identifying changes over time and 2) investigate differences in the amount of coverage between clinical areas (e.g., nutrition vs. neurology). Methods Using Altmetric institutional access, we will gather data on research outputs published 1 January 2017 through 31 December 2023 from active Irish organisations with Research Organisation Registry (ROR) IDs. Outputs will be deduplicated and stratified by their Australian and New Zealand Standard Research Classification relating to ≥1 field of health research: Biological Sciences, Biomedical and Clinical Sciences, Chemical Sciences, Health Sciences, and Psychology. We will clean data using R and perform descriptive analyses, establishing counts and frequencies of coverage by clinical area and medium (e.g., traditional news, X, etc.); data will be plotted on a yearly and quarterly basis where appropriate. Results and Conclusions Improved understanding of one’s information environment can help researchers better navigate their local landscapes and identify pathways for more effective communication to the public. All R code will be made available open-source, allowing researchers to adapt it to evaluate their local landscapes.

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Assessment of the Dissemination of COVID-19–Related Articles Across Social Media: Altmetrics Study

Cited by 5 publications

References 29 publications

Altmetric Analysis of Dermatology Manuscript Dissemination During the COVID-19 Era: Cross-Sectional Study

Altmetric Analysis of Dermatology Manuscript Dissemination During the COVID-19 Era: Cross-Sectional Study

Altmetric coverage of health research in Ireland 2017-2023: a protocol for a cross-sectional analysis

Altmetric coverage of health research in Ireland 2017-2023: a protocol for a cross-sectional analysis

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