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Tytuł pozycji:

Which Academic Papers Do Researchers Tend to Feature on ResearchGate?

Tytuł:
Which Academic Papers Do Researchers Tend to Feature on ResearchGate?
Autorzy:
Liu, Xuan Zhen
Fang, Hui
Deskryptory:
Researchers
Preferences
Writing for Publication
Publishing Industry
Relevance (Education)
Citation Analysis
Reputation
Authors
Bibliometrics
Język:
English
Źródło:
Information Research: An International Electronic Journal. Mar 2018 23(1).
Dostępność:
Thomas D. Wilson. 9 Broomfield Road, Broomhill, Sheffield, S10 2SE, UK. Web site: http://informationr.net/ir
Recenzowane naukowo:
Y
Page Count:
25
Data publikacji:
2018
Typ dokumentu:
Journal Articles
Reports - Research
Information Analyses
ISSN:
1368-1613
Abstractor:
As Provided
Liczba referencji:
44
Data wpisu:
2018
Numer akcesji:
EJ1174240
Czasopismo naukowe
Introduction: The academic social network site ResearchGate (www.researchgate.net) enables researchers to feature up to five of their research products (including papers, datasets and chapters) in a 'Featured research' section on their ResearchGate home page. This provides an opportunity to discover how researchers view their own publications. Method: We investigated ResearchGate members who self-selected their featured publications and compared these publications with other publications listed in ResearchGate. Analysis: We analysed the distribution of featured publications in the ResearchGate members' whole publications in terms of their importance, recency, citation and source reputation. Results: Researchers prefer to feature publications in which they played important roles, those that were recently published, highly cited and published by reputable sources. Conclusion: By featuring their research, researchers can highlight their academic achievements and create the potential to contribute to the wider scientific community through the future application or discussion of their work. Instances of featured research published for a relatively long period in somewhat obscure journals, with few citations, show that there is a difference between how these papers are valued by the scientific community and the authors who featured them. The presented method may be applied to find latent sleeping beauties.
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