The DOI matches its Crossref record.
New factors in the evaluation of scientific literature through citation indexing
Abstract
More than one million citations from the scientific literature have been processed by the Citation Index Project at the Institute for Scientific Information. The Project, sponsored by NSF and NIH, will be described briefly, and new methods of using citation data for evaluation of publications will be discussed. Summaries of statistical data, compiled by computer methods such as the following, will be given. Frequency of citation of one journal by another. Frequency of current citations to the past literature. Frequency of self‐citation by journals and authors. Number of source citations per cited paper. Number of references per source paper. Number of papers published per journal. Information scientists and research workers are encouraged to use this unique reservoir of information for additional statistics applicable to their fields of work as a basis for comparative studies on the efficacy of various indexing techniques.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
A Review of Theory and Practice in Scientometrics
Mingers, J., & Leydesdorff, L. (2015) · European Journal of Operational Research · doi:10.1016/j.ejor.2015.04.002 · Cited by 1,002
Team size matters: Collaboration and scientific impact since 1900
Larivière, V., Gingras, Y., Sugimoto, C. R., & Tsou, A. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23266 · Cited by 484
Mingers, J., & Yang, L. (2017) · European Journal of Operational Research · doi:10.1016/j.ejor.2016.07.058 · Cited by 184
State-of-the-art in detecting academic plagiarism
Meuschke, N., & Gipp, B. (2013) · International Journal for Educational Integrity · doi:10.21913/ijei.v9i1.847 · Cited by 112
Revisiting the Scientometric Conceptualization of Impact and Its Measurement
Abramo, G. (2018) · Journal of Informetrics · doi:10.1016/j.joi.2018.05.001 · Cited by 80
Metadata
- Authors
- Garfield, E., & Sher, I. H.
- Venue
- American Documentation
- Publisher
- Wiley
- Published
- 1963-07
- Volume
- 14
- Issue
- 3
- Pages
- 195-201
- ISSN
- 0096-946X (ISSN-L)
- 1936-6108
- OpenAlex
- W2028442912
- Cited by
- 420
- References
- 0
- FWCI
- 12.09
- Type
- journal article
- Language
- en
- Open access
- closed
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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: New factors in the evaluation of scientific literature through citation indexing. https://app.cochat.ai/papers/10.1002/asi.5090140304
- The paper
- Garfield, E., & Sher, I. H. (1963). New factors in the evaluation of scientific literature through citation indexing. American Documentation. https://doi.org/10.1002/asi.5090140304
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
