Evidence map›Paper›PMID 34125070›Full record

ArticleJournal of medical Internet research2021

Team Science in Precision Medicine: Study of Coleadership and Coauthorship Across Health Organizations.

Ning An, John Mattison, Xinyu Chen, Gil Alterovitz

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2021. 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, top 96% of its field
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, 0 citations in OpenAlex.

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

4 authors at 4 institutions in 2 countries.

Ning An *Key Laboratory of Knowledge Engineering with Big Data of the Ministry of Education, Intelligent Interconnected Systems Laboratory of Anhui Province, School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China.ORCID 0000-0003-3317-5299
John Mattison *Kaiser Permanente, Arsenal Capital Partners, New York City, NY, United States.ORCID 0000-0003-0892-1835
Xinyu Chen *Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, United States.ORCID 0000-0002-9507-5835
Gil Alterovitz *Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-0495-7059
Brigham and Women's Hospital · USHefei University of Technology · CNKaiser Permanente · USUniversity of California San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterdisciplinary collaborations bring lots of benefits to researchers in multiple areas, including precision medicine.

objectiveThis viewpoint aims at studying how cross-institution team science would affect the development of precision medicine.

methodsPublications of organizations on the eHealth Catalogue of Activities were collected in 2015 and 2017. The significance of the correlation between coleadership and coauthorship among different organizations was calculated using the Pearson chi-square test of independence. Other nonparametric tests examined whether organizations with coleaders publish more and better papers than organizations without coleaders.

resultsA total of 374 publications from 69 organizations were analyzed in 2015, and 7064 papers from 87 organizations were analyzed in 2017. Organizations with coleadership published more papers (P<.001, 2015 and 2017), which received higher citations (Z=-13.547, P<.001, 2017), compared to those without coleadership. Organizations with coleaders tended to publish papers together (P<.001, 2015 and 2017).

conclusionsOur findings suggest that organizations in the field of precision medicine could greatly benefit from institutional-level team science. As a result, stronger collaboration is recommended.

Indexed as

Interdisciplinary ResearchTelemedicineHumansPrecision MedicinePublicationsprecision medicineteam science

Identifiers

PMID34125070
PMCPMC8240795
OpenAlexW3151335261

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.