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dc.contributor.authorGrynoch, Tess
dc.contributor.authorHonor, Leah B.
dc.contributor.authorGore, Sally A.
dc.contributor.authorPalmer, Lisa A.
dc.date.accessioned2023-10-26T15:02:30Z
dc.date.available2023-10-26T15:02:30Z
dc.date.issued2023-10-26
dc.identifier.doi10.13028/1qn8-7s42en_US
dc.identifier.urihttp://hdl.handle.net/20.500.14038/52646
dc.descriptionPresented October 26, 2023 at the 2023 UMass Chan Medical School Research Retreat, Amherst, MA.en_US
dc.description.abstractResearch metrics can be used to demonstrate individual research output but also the research output of a group and their contributions to scientific effort. Traditional research metrics have been limited to publication and citation counts and journal impact measures. New tools allow for a broader perspective and an exploration of public engagement with the inclusion of altmetrics such as mentions in traditional and social media, citations in policy documents, and downloads. Similarly, network analysis of bibliometric data can demonstrate the power of co-authorship and collaboration, as well as reveal trending topics. By using the 2020-2022 research output of current Morningside Graduate School of Biomedical Sciences faculty at UMass Chan Medical School, what conclusions can be drawn by seeing all these metrics visually? This poster will display a variety of research metrics and discuss the strengths and weaknesses of each.en_US
dc.language.isoen_USen_US
dc.publishereScholarship@UMassChanen_US
dc.relation.ispartof2023 UMass Chan Medical School Research Retreaten_US
dc.rightsCopyright © 2023 Grynoch, Honor, Gore, and Palmer. This is an open-access document distributed under the terms of the Creative Commons Attribution 4.0 License (CC BY 4.0). The use, distribution or reproduction in other forums is permitted, provided the original author(s) are credited.en_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectresearch metricsen_US
dc.subjectresearch outputen_US
dc.subjectpublication metricsen_US
dc.subjectaltmetricsen_US
dc.subjectnetwork analysisen_US
dc.subjectbibliometricsen_US
dc.subjectUMass Chan Medical School
dc.titleResearch output of Morningside Graduate School of Biomedical Sciences faculty: A visual reviewen_US
dc.typePosteren_US
refterms.dateFOA2023-10-26T15:02:32Z
atmire.contributor.authoremailTess.Grynoch@umassmed.eduen_US
atmire.contributor.authoremailLeah.Honor@umassmed.eduen_US
atmire.contributor.authoremailSally.Gore@umassmed.eduen_US
atmire.contributor.authoremailLisa.Palmer@umassmed.eduen_US
dc.contributor.departmentLamar Soutter Libraryen_US


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Copyright © 2023 Grynoch, Honor, Gore, and Palmer. This is an open-access document distributed under the terms of the Creative Commons Attribution 4.0 License (CC BY 4.0). The use, distribution or reproduction in other forums is permitted, provided the original author(s) are credited.
Except where otherwise noted, this item's license is described as Copyright © 2023 Grynoch, Honor, Gore, and Palmer. This is an open-access document distributed under the terms of the Creative Commons Attribution 4.0 License (CC BY 4.0). The use, distribution or reproduction in other forums is permitted, provided the original author(s) are credited.