Cargando…
Identifying key papers within a journal via network centrality measures
This article examines the extent to which existing network centrality measures can be used (1) as filters to identify a set of papers to start reading within a journal and (2) as article-level metrics to identify the relative importance of a paper within a journal. We represent a dataset of publishe...
Autores principales: | Diallo, Saikou Y., Lynch, Christopher J., Gore, Ross, Padilla, Jose J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088853/ https://www.ncbi.nlm.nih.gov/pubmed/32214550 http://dx.doi.org/10.1007/s11192-016-1891-8 |
Ejemplares similares
-
You Are What You Tweet: Connecting the Geographic Variation in America’s Obesity Rate to Twitter Content
por: Gore, Ross Joseph, et al.
Publicado: (2015) -
Temporal and spatiotemporal investigation of tourist attraction visit sentiment on Twitter
por: Padilla, Jose J., et al.
Publicado: (2018) -
A content analysis-based approach to explore simulation verification and identify its current challenges
por: Lynch, Christopher J., et al.
Publicado: (2020) -
Quality of Interventional Radiology Journals and Papers
por: Reekers, J. A., et al.
Publicado: (2009) -
BBXRT: journal papers and selected conference contributions
por: Serlemitsos, Peter J, et al.
Publicado: (1993)