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The open access advantage considering citation, article usage and social media attention
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“Indeed, many studies have demonstrated that OA content attracts more citations [129,133,153-155], although others did not observe significant OA advantage in citation impact [156,157].”
From Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021) · cites this paper as [155]
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Metadata
- Authors
- Wang, X., Liu, C., Mao, W., & Fang, Z.
- Affiliations
- Dalian University of Technology (CN)
- Corresponding author
- Wang, Xianwen
- Venue
- Scientometrics
- Published
- 2015-03-12
- Volume
- 103
- Issue
- 2
- Pages
- 555-564
- ISSN
- 0138-9130 (ISSN-L)
- 1588-2861
- OpenAlex
- W1996515099
- Semantic Scholar
- 53ff3be5087e3bcb698d3ad63a109e69c2f3ca66
- Cited by
- 259
- References
- 27
- Citations by year
- 2026: 10 · 2025: 11 · 2024: 22 · 2023: 28 · 2022: 20 · 2021: 49 · 2020: 25 · 2019: 33 · 2018: 21 · 2017: 25 · 2016: 13 · 2015: 1
- FWCI
- 18.51
- Type
- journal article
- Language
- en
- Update notices
- correction (2015-04-04)
- Open access
- green
- arxiv.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Scientometrics (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Natural Science Foundation of China
- Topics
- Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
- Social Sciences › Library and Information Sciences › Academic Publishing and Open Access
- Social Sciences › Library and Information Sciences › Publishing and Scholarly Communication
- Keywords
- open access, citation advantage, article downloads, social media attention, article-level metrics, nature communication, scholarly impact
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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