Measuring Discursive Influence Across Scholarship
- Submitting institution
-
Goldsmiths' College
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1994
- Type
- D - Journal article
- DOI
-
10.1073/pnas.1719792115
- Title of journal
- Proceedings of the National Academy of Sciences
- Article number
- -
- First page
- 3308
- Volume
- 115
- Issue
- 13
- ISSN
- 0027-8424
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2018
- URL
-
http://research.gold.ac.uk/id/eprint/22951/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 13
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Scientific and scholarly influence is multifaceted, shifts over time, and varies across disciplines. We present a dynamic topic model to credit documents with influence that shapes future discourse based on their content and contextual features. We trace discursive innovation in scholarship and identify the influence of particular articles along with their authors, affiliations, and journals. In collections of science, social science, and humanities research spanning over a century, our measure helps predict citations and reveals signals that recognize authors who make diverse contributions and whose contributions take longer to be appreciated, allowing us to compensate for bias in citation behaviour.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -