Evidence map›Paper›PMID 33870065›Full record

ArticleFrontiers in research metrics and analytics2020

Mapping Collaborations and Partnerships in SDG Research.

Jane Payumo, Guangming He, Anusha Chintamani Manjunatha, Devin Higgins, Scout Calvert

Abstract read
In one paragraph

Article in Frontiers in research metrics and analytics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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.

Jane PayumoMSU AgBioResearch, College of Agriculture and Natural Resources, Michigan State University, East Lansing, MI, United States.
Guangming HeMSU Innovation Center, Michigan State University, East Lansing, MI, United States.
Anusha Chintamani ManjunathaMSU AgBioResearch, College of Agriculture and Natural Resources, Michigan State University, East Lansing, MI, United States.
Devin HigginsMSU Libraries, Michigan State University, East Lansing, MI, United States.
Scout CalvertMSU Libraries, Michigan State University, East Lansing, MI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Collaboration has become an essential paradigm in sustainable development research and in strategies for meeting the United Nations Sustainable Development Goals (SDGs). This study uses bibliometric methods and network analysis to examine research output and collaboration supporting the SDGs and explores means to detect and analyze research collaboration beyond the traditional definition of multiple, one-time co-authorship. We employed two additional lenses of collaboration: repeat collaboration and collaboration time point to quantify and visualize co-authorship data sourced from Microsoft Academic Graph. Our results show an increased collaboration rate over time at the author and institutional levels; however they also indicate that the majority of collaborations in SDG-related research only happened once. We also found out that on average, repeat collaboration happens more frequently, but after a longer duration, at the institutional level than at the author level. For this reason, we further analyzed institutions and identified core institutions that could help influence more consistent collaboration and sustain or grow the SDG-related research network. Our results have implications for understanding sustainable partnerships in research related to SDGs and other global challenges.

Indexed as

bibliometric analysisCADREco-authorship networkscollaborationmillennium development goalsresearch evaluationsustainable development goals

Identifiers

PMID33870065
PMCPMC8025970

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.