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Measuring discursive influence across scholarship

Assessing scholarly influence is critical for understanding the collective system of scholarship and the history of academic inquiry. Influence is multifaceted, and citations reveal only part of it. Citation counts exhibit preferential attachment and follow a rigid “news cycle” that can miss sustain...

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Detalles Bibliográficos
Autores principales: Gerow, Aaron, Hu, Yuening, Boyd-Graber, Jordan, Blei, David M., Evans, James A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5879694/
https://www.ncbi.nlm.nih.gov/pubmed/29531061
http://dx.doi.org/10.1073/pnas.1719792115
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author Gerow, Aaron
Hu, Yuening
Boyd-Graber, Jordan
Blei, David M.
Evans, James A.
author_facet Gerow, Aaron
Hu, Yuening
Boyd-Graber, Jordan
Blei, David M.
Evans, James A.
author_sort Gerow, Aaron
collection PubMed
description Assessing scholarly influence is critical for understanding the collective system of scholarship and the history of academic inquiry. Influence is multifaceted, and citations reveal only part of it. Citation counts exhibit preferential attachment and follow a rigid “news cycle” that can miss sustained and indirect forms of influence. Building on dynamic topic models that track distributional shifts in discourse over time, we introduce a variant that incorporates features, such as authorship, affiliation, and publication venue, to assess how these contexts interact with content to shape future scholarship. We perform in-depth analyses on collections of physics research (500,000 abstracts; 102 years) and scholarship generally (JSTOR repository: 2 million full-text articles; 130 years). Our measure of document influence helps predict citations and shows how outcomes, such as winning a Nobel Prize or affiliation with a highly ranked institution, boost influence. Analysis of citations alongside discursive influence reveals that citations tend to credit authors who persist in their fields over time and discount credit for works that are influential over many topics or are “ahead of their time.” In this way, our measures provide a way to acknowledge diverse contributions that take longer and travel farther to achieve scholarly appreciation, enabling us to correct citation biases and enhance sensitivity to the full spectrum of scholarly impact.
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spelling pubmed-58796942018-04-03 Measuring discursive influence across scholarship Gerow, Aaron Hu, Yuening Boyd-Graber, Jordan Blei, David M. Evans, James A. Proc Natl Acad Sci U S A Social Sciences Assessing scholarly influence is critical for understanding the collective system of scholarship and the history of academic inquiry. Influence is multifaceted, and citations reveal only part of it. Citation counts exhibit preferential attachment and follow a rigid “news cycle” that can miss sustained and indirect forms of influence. Building on dynamic topic models that track distributional shifts in discourse over time, we introduce a variant that incorporates features, such as authorship, affiliation, and publication venue, to assess how these contexts interact with content to shape future scholarship. We perform in-depth analyses on collections of physics research (500,000 abstracts; 102 years) and scholarship generally (JSTOR repository: 2 million full-text articles; 130 years). Our measure of document influence helps predict citations and shows how outcomes, such as winning a Nobel Prize or affiliation with a highly ranked institution, boost influence. Analysis of citations alongside discursive influence reveals that citations tend to credit authors who persist in their fields over time and discount credit for works that are influential over many topics or are “ahead of their time.” In this way, our measures provide a way to acknowledge diverse contributions that take longer and travel farther to achieve scholarly appreciation, enabling us to correct citation biases and enhance sensitivity to the full spectrum of scholarly impact. National Academy of Sciences 2018-03-27 2018-03-12 /pmc/articles/PMC5879694/ /pubmed/29531061 http://dx.doi.org/10.1073/pnas.1719792115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Social Sciences
Gerow, Aaron
Hu, Yuening
Boyd-Graber, Jordan
Blei, David M.
Evans, James A.
Measuring discursive influence across scholarship
title Measuring discursive influence across scholarship
title_full Measuring discursive influence across scholarship
title_fullStr Measuring discursive influence across scholarship
title_full_unstemmed Measuring discursive influence across scholarship
title_short Measuring discursive influence across scholarship
title_sort measuring discursive influence across scholarship
topic Social Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5879694/
https://www.ncbi.nlm.nih.gov/pubmed/29531061
http://dx.doi.org/10.1073/pnas.1719792115
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