The DOI matches its Crossref record.
Drifting Continents and Colliding Paradigms: Perspectives on the Geoscience Revolution
Abstract
"The book provides an excellent historical summary of the debates over continental drift theory in this century." -Contemporary Sociology"This is a useful discussion of the way that science works. The book will be of value to philosophers of science... " -Choice"... will find an important place in university and department libraries, and will interest afficionados of the factual and intellectual history of the earth sciences." -Terra Nova"... an excellent core analysis... " -The Times Higher Education Supplement"... an ambitious and important contribution to the new sociology of science." -American Journal of Sociology"... Stewart's book is a noble effort, an interesting and readable discussion, and another higher notch on the scoreboard of critical scholarship that deserves wide examination and close attention." -GeophysicsThis fascinating book describes the rise and fall and rebirth of continental drift theory in this century. It uses the recent revolution in geoscientinsts' beliefs about the earth to examine questions such as, How does scientific knowledge develop and change? The book also explores how well different perspectives help us to understand revolutionary change in science.
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“as longer articles have more content that can be cited than shorter articles do, the sheer size of an article influences whether it is cited”
From What do citation counts measure? A review of studies on citing behavior (2008) · cites this paper as Stewart, 1990
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What do citation counts measure? A review of studies on citing behavior
Bornmann, L., & Daniel, H. (2008) · Journal of Documentation · doi:10.1108/00220410810844150 · Cited by 1,607
Metadata
- Authors
- Stewart, J.
- Publisher
- Indiana University Press
- Published
- 1990
- Cited by
- 12
- References
- 0
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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.
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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.