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Revealing the Relational Mechanisms of Research for Development Through Social Network Analysis

Overview of attention for article published in The European Journal of Development Research, January 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
11 X users

Readers on

mendeley
22 Mendeley
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Title
Revealing the Relational Mechanisms of Research for Development Through Social Network Analysis
Published in
The European Journal of Development Research, January 2023
DOI 10.1057/s41287-023-00576-y
Pubmed ID
Authors

Marina Apgar, Guillaume Fournie, Barbara Haesler, Grace Lyn Higdon, Leah Kenny, Annalena Oppel, Evelyn Pauls, Matthew Smith, Mieke Snijder, Daan Vink, Mazeda Hossain

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 18%
Other 2 9%
Researcher 2 9%
Student > Ph. D. Student 1 5%
Student > Bachelor 1 5%
Other 2 9%
Unknown 10 45%
Readers by discipline Count As %
Social Sciences 3 14%
Arts and Humanities 2 9%
Economics, Econometrics and Finance 2 9%
Computer Science 1 5%
Business, Management and Accounting 1 5%
Other 2 9%
Unknown 11 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 February 2023.
All research outputs
#3,886,411
of 24,247,965 outputs
Outputs from The European Journal of Development Research
#143
of 664 outputs
Outputs of similar age
#72,189
of 440,310 outputs
Outputs of similar age from The European Journal of Development Research
#2
of 5 outputs
Altmetric has tracked 24,247,965 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 664 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 440,310 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.