Conference proceeding
The scientometrics of successful women in science
2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp.654-660
08/2016
DOI: 10.1109/ASONAM.2016.7752307
Abstract
This paper examines the effects of gender differences in collaboration on research outcomes. We analyzed network characteristics of seventeen medical research institutions that are Clinical and Translational Science Awardees (CTSA) to determine if network connectivity characteristics have the potential to help mitigate the performance gap between the sexes. We determined betweenness centrality to identify well-connected researchers. Then we used clustering coefficient to determine how tightly connected their collaborators were with each other. We correlate these scores with productivity (number of total publications for each author), and h-index (the number of papers h for which an author has h citations). We also provide data on how network characteristics vary by role for each gender studied. Our results indicate that being well connected is more highly correlated with success for women than men for most of the institutions we studied. We believe these results can be leveraged to improve success rates for women in the future.
Details
- Title: Subtitle
- The scientometrics of successful women in science
- Creators
- Charisse Madlock-Brown - Health Inf. & Inf. Manage., Univ. of Tennessee Heal Sci. Center, Memphis, TN, USADavid Eichmann - Interdiscipl. Grad. Program in Inf., Univ. of Iowa, Iowa City, IA, USA
- Resource Type
- Conference proceeding
- Publication Details
- 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp.654-660
- DOI
- 10.1109/ASONAM.2016.7752307
- Publisher
- IEEE
- Language
- English
- Date published
- 08/2016
- Academic Unit
- School of Library and Information Science; Nursing
- Record Identifier
- 9984003175802771
Metrics
63 Record Views