(2020) Science Map of Cochrane Systematic Reviews Receiving the Most Altmetric Attention Score: A Network Analysis. Journal of Scientometric Research. pp. 293-299. ISSN 2321-6654
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Abstract
The present study aimed to analyze and visualize the science map of Cochrane systematic reviews (CSRs) with high Altmetric attention score (AAS). On 2020-07-29, the altmetric data of the Cochrane Database of Systematic Reviews were obtained from the Altmetric database (Altmetric LLP, London, UK). Bibliometric data of the top 5 AAS of CSRs were extracted from the Web of Science. Keyword co-occurrence, co-authorship and co-citation network analyses were then employed using VOSviewer software. The random forest model was used to rank the importance of the altmetric resource. A total of 11222 CSRs with AAS were found (Total mentions: 305265), with Twitter being the most popular Altmetric resource. Consequently, the top 5 AAS (649 articles, mean AAS: 204.95, 95 confidence level: 18.95, mean citations: 123.68, 95 confidence level: 13.9) were included. Density mapping revealed female, adult and child as the most popular author keywords. According to network visualization, Helen V. Worthington (University of Manchester, Manchester, UK), the University of Oxford and UK had the greatest impact on the network at the author, organization and country levels respectively. AAS were weekly correlated with citations (r(s)=0.21) although citations were moderately correlated with policy document and blog mentions (r(s)=0.46 and r(s)=0.43). Cochrane systematic reviews received high levels of online attention, particularly in the Twittersphere and mostly from the UK. However, CSRs were rarely publicized and discussed using recently developed academic tools. such as F1000 prime, Publons and PubPeer.
Item Type: | Article |
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Keywords: | Cochrane systematic review Altmetric Bibliometric Twitter Machine learning Network analysis Random forest DENTAL LITERATURE SCIENTIFIC LANDSCAPE IMPACT CITATIONS ARTICLES JOURNALS TWITTER |
Subjects: | History of Medicine. Medical Miscellany > WZ 305-350 Miscellany Relating to Medicine |
Divisions: | Biosensor research center Dental Research Center Faculty of Dental > Department of Endodontics Research Institute for Primordial Prevention of Non-communicable Disease > Child Growth and Development Research Center School of Advanced Technologies in Medicine > Department of Biomaterials, Nanotechnology and Tissue Engineering |
Page Range: | pp. 293-299 |
Journal or Publication Title: | Journal of Scientometric Research |
Journal Index: | ISI |
Volume: | 9 |
Number: | 3 |
Identification Number: | https://doi.org/10.5530/jscires.9.3.36 |
ISSN: | 2321-6654 |
Depositing User: | Zahra Otroj |
URI: | http://eprints.mui.ac.ir/id/eprint/13010 |
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