Evidence map›Paper›PMID 30595705›Full record

ArticleJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2018

Intradepartment scientific collaboration in Journal of Research in Medical Sciences: A co-authorship study.

Ehsan Geraei, Elaheh Mazaheri, Maryam Karimi

Abstract read
In one paragraph

Article in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Ehsan GeraeiDepartment of Knowledge and Information Science, School of Literature and Humanities, Lorestan University, Khorramabad, Iran.
Elaheh MazaheriDepartment of Librarianship and Medical Information Sciences, School of Management and Medical Information Sciences and Student Research Committee, Isfahan University of Medical Sciences, Isfahan, Iran.
Maryam KarimiVice-chancellery for Research, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to use social network analysis (SNA) indicators and clique analysis to investigate collaboration between different departments and research centers in Journal of Research in Medical Sciences (JRMS) in 2012-2016. MATERIALS AND

methodsThe study was a scientometric study using micro- and macro-indicators of SNA to investigate the performance of departments and research centers in JRMS. The population consisted of 1073 articles published in JRMS in 2012-2016. Ravar Matrix, UCINET, and VOSviewer software were used for data analysis.

resultsAccording to the productivity and triple centrality indicators, "Department of Epidemiology and Biostatistics," "Department of Pathology," and Department of "Internal Medicine" allocated the first three ranks. Analyzing the cliques of co-authorship network for departments and research centers showed that this network consists of 19 cliques with at least 7 members in each clique. Furthermore, only 30 nodes (8.90% of all nodes in the network) had the presence in minimum clique size of at least 7.

conclusionGiven the importance and position of scientific collaboration in medical research and its effect on other performance indicators such as efficiency, effectiveness, and number of citations, it is necessary for policy-makers to propose new strategies for improving scientific collaboration.

Indexed as

Clique analysisintradepartment collaborationJournal of Research in Medical Sciencessocial network analysis

Identifiers

PMID30595705
PMCPMC6282781

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.