Evidence map›Paper›PMID 25954587›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2014

Temporal analysis of the usage log of a research networking system.

Sunmoo Yoon, Sylvia Trembowelski, Richard C Steinman, Suzanne Bakken, Chunhua Weng

Abstract read

In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sunmoo YoonSchool of Nursing, Columbia University, New York, New York, USA.

Sylvia TrembowelskiThe Irving Institute for Clinical and Translational Research, Columbia University, New York, New York, USA.

Richard C SteinmanThe Irving Institute for Clinical and Translational Research, Columbia University, New York, New York, USA.

Suzanne BakkenSchool of Nursing, Columbia University, New York, New York, USA ; The Irving Institute for Clinical and Translational Research, Columbia University, New York, New York, USA ; Department of Biomedical Informatics, Columbia University, New York, New York, USA.

Chunhua WengThe Irving Institute for Clinical and Translational Research, Columbia University, New York, New York, USA ; Department of Biomedical Informatics, Columbia University, New York, New York, USA.

Funding

Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015

$26.2M

Washington Heights Initiative Community-based Comparative Effectiveness ResearchR01HS019853 · AHRQ · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE · 2010 to 2010

$8.9M

Bridging the Semantic Gap Between Research Eligibility Criteria and Clinical DataR01LM009886 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WENG, CHUNHUA · 2009 to 2020

$5.3M

AHRQ HHS R01 HS019853NCATS NIH HHS UL1 TR000040NLM NIH HHS R01 LM009886

6 · The paper itself

Abstract

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.

Identifiers

PMID25954587

PMCPMC4419755

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.