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Temporal Analysis of the Usage Log of a Research Networking System

Despite the proliferation of research networking systems (RNS), their value and usage remains unknown. This study aims to characterize the temporal usage of an RNS, Columbia University Scientific Profiles (CUSP), and to inform the designs of general RNSs. We installed a free usage logging service, G...

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Autores principales: Yoon, Sunmoo, Trembowelski, Sylvia, Steinman, Richard C, Bakken, Suzanne, Weng, Chunhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4419755/
https://www.ncbi.nlm.nih.gov/pubmed/25954587
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author Yoon, Sunmoo
Trembowelski, Sylvia
Steinman, Richard C
Bakken, Suzanne
Weng, Chunhua
author_facet Yoon, Sunmoo
Trembowelski, Sylvia
Steinman, Richard C
Bakken, Suzanne
Weng, Chunhua
author_sort Yoon, Sunmoo
collection PubMed
description Despite the proliferation of research networking systems (RNS), their value and usage remains unknown. This study aims to characterize the temporal usage of an RNS, Columbia University Scientific Profiles (CUSP), and to inform the designs of general RNSs. We installed a free usage logging service, Google Analytics, on CUSP and applied time series analysis to compare the usage patterns of the two modes of CUSP: restricted (authenticated) and open access. More users searched by person names than by topics, although the latter enables in-depth vertical search of co-author or co-investigator networks for grants or publications. The open-access mode received more page views but less average time spent on each page than the restricted access mode. The numbers of unique users and searches have increased over the time. This study contributes a trend analysis framework for understanding the usage of RNSs and early knowledge of the usage of an open-access RNS.
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spelling pubmed-44197552015-05-07 Temporal Analysis of the Usage Log of a Research Networking System Yoon, Sunmoo Trembowelski, Sylvia Steinman, Richard C Bakken, Suzanne Weng, Chunhua AMIA Jt Summits Transl Sci Proc Articles Despite the proliferation of research networking systems (RNS), their value and usage remains unknown. This study aims to characterize the temporal usage of an RNS, Columbia University Scientific Profiles (CUSP), and to inform the designs of general RNSs. We installed a free usage logging service, Google Analytics, on CUSP and applied time series analysis to compare the usage patterns of the two modes of CUSP: restricted (authenticated) and open access. More users searched by person names than by topics, although the latter enables in-depth vertical search of co-author or co-investigator networks for grants or publications. The open-access mode received more page views but less average time spent on each page than the restricted access mode. The numbers of unique users and searches have increased over the time. This study contributes a trend analysis framework for understanding the usage of RNSs and early knowledge of the usage of an open-access RNS. American Medical Informatics Association 2014-04-07 /pmc/articles/PMC4419755/ /pubmed/25954587 Text en ©2014 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose
spellingShingle Articles
Yoon, Sunmoo
Trembowelski, Sylvia
Steinman, Richard C
Bakken, Suzanne
Weng, Chunhua
Temporal Analysis of the Usage Log of a Research Networking System
title Temporal Analysis of the Usage Log of a Research Networking System
title_full Temporal Analysis of the Usage Log of a Research Networking System
title_fullStr Temporal Analysis of the Usage Log of a Research Networking System
title_full_unstemmed Temporal Analysis of the Usage Log of a Research Networking System
title_short Temporal Analysis of the Usage Log of a Research Networking System
title_sort temporal analysis of the usage log of a research networking system
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4419755/
https://www.ncbi.nlm.nih.gov/pubmed/25954587
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