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Thank you. cheers stuart -- ...let us be heard from red core to black sky On Thu, 18 Jul 2019 at 12:10, Marijane White <[log in to unmask]> wrote: > > The work of Cassidy Sugimoto and Vincent Larivière comes to mind, as well as some of the work done at the Centre for Science and Technology Studies (CWTS) in the Netherlands. > > Some examples: > https://www.semanticscholar.org/paper/Bibliometrics%3A-global-gender-disparities-in-Larivi%C3%A8re-Ni/73068e44373215a447d0a646446e73b94550610c > https://www.cwts.nl/blog?article=n-q2z294&title=the-end-of-gender-disparities-in-science-if-only-it-were-true > https://www.cwts.nl/blog?article=n-r2w2c4&title=indicators-for-social-good > > > Marijane White, M.S.L.I.S. > Data Librarian, Assistant Professor > Oregon Health & Science University Library > > Phone: 503.494.3484 > Email: [log in to unmask] > ORCiD: https://orcid.org/0000-0001-5059-4132 > > > On 2019/07/17, 1:30 PM, "Code for Libraries on behalf of Stuart A. Yeates" <[log in to unmask] on behalf of [log in to unmask]> wrote: > > I'm looking for work or discussions on systematic bias in > bibliometrics or appropriate fora where such discussions are likely to > happen. Even critical analysis of the founding assumptions of > bibliometrics as a field would be a good place to start > > I have some ideas but they seem obvious and I'm afraid I'm missing a > community of practice because what I think of as a widget they know as > a whatzit. > > cheers > stuart > -- > ...let us be heard from red core to black sky > >