Measuring scientific impact beyond academia: An assessment of existing impact metrics and proposed improvements
- Submitting institution
-
Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 537
- Type
- D - Journal article
- DOI
-
10.1371/journal.pone.0173152
- Title of journal
- PLoS ONE
- Article number
- ARTN e0173152
- First page
- e0173152
- Volume
- 12
- Issue
- 3
- ISSN
- 1932-6203
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2017
- URL
-
-
- 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
-
3
- Research group(s)
-
-
- Citation count
- 55
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Widely cited in different disciplines (scientometrics, informetrics, altmetrics, medicine, drug safety, education technology, business, social sciences, political science, science and policy) and across different countries (UK, Netherlands, US, Croatia, South Africa) with over 14,360 views, downloads and shares. Venues citing this paper include SAGE journals, Elsevier journals, Wiley journals, ACL conference. It paved way for a subsequent A* paper at a top NLP conference (ACL 2018: https://www.aclweb.org/anthology/P18-4004.pdf ) and new submissions. It is joint work with the British Library and makes recommendations about REF and non-academic, comprehensive impact. Article led to collaboration in the context of an EU project (http://www.data4impact.eu/)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -