Validating science’s power players: Scientometric mixed methods for data verification in identifying influential scientists in a genetics collaboration community

Bratt, S.E., Costa, M., Hemsley, J., & Qin, J. (2016). Validating science’s power players: Scientometric mixed methods for data verification in identifying influential scientists in a genetics collaboration community. iConference, Philadelphia, PA, March 2016. Poster presentation. http://hdl.handle.net/2142/89338

This poster reports the iterative process of interpreting complex network analysis (CNA) metrics of an international protein sequence data repository’s metadata (GenBank) to identify influential “power players” in the genomics community.