The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Bibliometrics to webometrics
Abstract
Bibliometrics has changed out of all recognition since 1958; becoming established as a field, being taught widely in library and information science schools, and being at the core of a number of science evaluation research groups around the world. This was all made possible by the work of Eugene Garfield and his Science Citation Index. This article reviews the distance that bibliometrics has travelled since 1958 by comparing early bibliometrics with current practice, and by giving an overview of a range of recent developments, such as patent analysis, national research evaluation exercises, visualization techniques, new applications, online citation indexes, and the creation of digital libraries. Webometrics, a modern, fast-growing offshoot of bibliometrics, is reviewed in detail. Finally, future prospects are discussed with regard to both bibliometrics and webometrics.
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
Cites
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
The anatomy of a large-scale hypertextual Web search engine
Brin, S., & Page, L. (1998) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(98)00110-x · Cited by 16,004
The Matthew Effect in Science: The reward and communication systems of science are considered.
Merton, R. K. (1968) · Science · doi:10.1126/science.159.3810.56 · Cited by 6,720 · cited 1×
“This is similar to Merton’s [ 12 ] “Matthew effect” in science, whereby recognised scholars tend to be awarded a disproportionate credit for their research.”
Garfield, E. (1972) · Science · doi:10.1126/science.178.4060.471 · Cited by 2,788 · cited 1×
“The Journal Impact Factor, introduced in the early 1960s [13-15] is the number of citations from ISI-indexed articles published in the year X to articles in the journal published in years X-1 and X-2, divided by the number of (citable) items published in the journal in the years X-1 and X-2.”
BackgroundMeho, L. I., & Yang, K. (2007) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20677 · Cited by 974
Comparing alternatives to the web of science for coverage of the social sciences’ literature
Norris, M., & Oppenheim, C. (2007) · Journal of Informetrics · doi:10.1016/j.joi.2006.12.001 · Cited by 733
Friends, Friendsters, and Top 8: Writing community into being on social network sites
Boyd, D. (2006) · First Monday · doi:10.5210/fm.v11i12.1418 · Cited by 636
Google Scholar: the pros and the cons
Jacsó, P. (2005) · Online Information Review · doi:10.1108/14684520510598066 · Cited by 383 · cited 1×
“Other studies with wider disciplinary coverage have also shown that the coverage of Google Scholar is variable and can be low or particularly unreliable for some disciplines [37, 38].”
Background
Cited by
AI technologies for education: Recent research & future directions
Zhang, K., & Aslan, A. B. (2021) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2021.100025 · Cited by 923
Gusenbauer, M. (2019) · Scientometrics · doi:10.1007/s11192-018-2958-5 · Cited by 687
Knowledge mapping of platform research: a visual analysis using VOSviewer and CiteSpace
Ding, X., & Yang, Z. (2022) · Electronic Commerce Research · doi:10.1007/s10660-020-09410-7 · Cited by 621
Knowledge management: A global examination based on bibliometric analysis
Gaviria-Marin, M., Merigó, J. M., & Baier-Fuentes, H. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.07.006 · Cited by 560
Bibliometric analysis of absorptive capacity
Apriliyanti, I. D., & Alon, I. (2017) · International Business Review · doi:10.1016/j.ibusrev.2017.02.007 · Cited by 359
Metadata
- Authors
- Thelwall, M.
- Venue
- Journal of Information Science
- Publisher
- SAGE Publications
- Published
- 2008-06-13
- Volume
- 34
- Issue
- 4
- Pages
- 605-621
- ISSN
- 0165-5515 (ISSN-L)
- 1741-6485
- OpenAlex
- W2110562193
- Cited by
- 518
- References
- 8
- FWCI
- 13.49
- 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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Bibliometrics to webometrics. https://app.cochat.ai/papers/10.1177/0165551507087238
- The paper
- Thelwall, M. (2008). Bibliometrics to webometrics. Journal of Information Science. https://doi.org/10.1177/0165551507087238
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.
