Early indicators of scientific impact: Predicting citations with altmetrics
Open accessIntegrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The correlation between altmetrics and scientific impact in the form of citations may not be strong, as altmetrics scores could be primarily driven by factors such as public appeal.
“Nevertheless, their correlation with scientific impact in the form of citations may not be strong, as altmetrics scores could be primarily driven by factors such as public appeal (De Winter, 2015; Hassan et al., 2017; Pandey Akella et al., 2021; Warren et al., 2017).”
From Can ChatGPT be used to predict citation counts, readership, and social media interaction? An exploration among 2222 scientific abstracts (2024) · cites this paper as Pandey Akella et al., 2021
The citation lists haven’t been fetched yet
References 133 · Cited by 74
- Authors
- Akella, A. P., Alhoori, H., Kondamudi, P. R., Freeman, C., & Zhou, H.
- Affiliations
- Northern Illinois University (US)
- Corresponding author
- Alhoori, Hamed
- Venue
- Journal of Informetrics
- Publisher
- Elsevier BV
- Published
- 2021-05
- Volume
- 15
- Issue
- 2
- Pages
- 101128
- ISSN
- 1751-1577 (ISSN-L)
- OpenAlex
- W3130879909
- Cited by
- 74
- References
- 133
- Citations by year
- 2026: 3 · 2025: 17 · 2024: 14 · 2023: 17 · 2022: 15 · 2021: 8
- FWCI
- 7.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 286 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Journal of Informetrics (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Science Foundation
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Physical Sciences › Computer Science › Information Systems › Web visibility and informetrics
- Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
- Keywords
- altmetrics, citation prediction, scientific publications, Mendeley readership, Twitter mentions, artificial neural networks, ensemble learning
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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