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Can altmetrics predict future citation counts in critical care medicine publications?

Authors :
Colin S Black
Daniel J. Lehane
Source :
J Intensive Care Soc
Publication Year :
2020
Publisher :
SAGE Publications, 2020.

Abstract

Introduction Social media is increasingly used in the dissemination of medical research. Traditional measures of the impact of a paper do not account for this. Altmetrics are a measure of the dissemination of a publication via social media websites. The purpose of this study is to ascertain if the altmetric attention score of an article is a reliable measure of the impact it has in the field of critical care medicine. To this end, we investigated if a correlation exists between future citation count and altmetric attention score. Methods The top nine journals by impact factor in the field of critical care medicine were identified for 2014 and 2015. The 100 most cited articles from these journals were recorded to form the Scientific Impact Group, i.e. those with the greatest impact on the scientific community. The altmetric attention score was recorded for each article. The top 100 articles by altmetric attention score were also identified to form the Media Impact Group, i.e. those that generated the most online attention. Their citation counts’ were recorded. Statistical analysis was performed on each group to identify a correlation between altmetric attention score and citation count. Results There was a moderately positive correlation in the Scientific Impact Group, with a Spearman r score of 0.4336 ( P = 0.0001). A weakly positive correlation was found in the Media Impact Group, with a Spearman r score of 0.3033 ( P = 0.002). Conclusions There is a positive correlation between traditional bibliographic metrics and altmetrics in the field of critical care medicine. Highly cited papers are more likely to generate online attention. However, papers that generate a lot of online attention are less likely to have a high citation count. Therefore, altmetric attention score is not a reliable predictor of future citation count in critical care medicine.

Details

ISSN :
17511437
Volume :
22
Database :
OpenAIRE
Journal :
Journal of the Intensive Care Society
Accession number :
edsair.doi.dedup.....f8616dbf58ec9703a57ab73de207a2bc