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How structural adjustment programs affect inequality: A disaggregated analysis of IMF conditionality, 1980–2014

Overview of attention for article published in Social Science Research, May 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 1,048)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
6 news outlets
blogs
1 blog
policy
1 policy source
twitter
481 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
61 Mendeley
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Title
How structural adjustment programs affect inequality: A disaggregated analysis of IMF conditionality, 1980–2014
Published in
Social Science Research, May 2019
DOI 10.1016/j.ssresearch.2019.01.001
Pubmed ID
Authors

Timon Forster, Alexander E. Kentikelenis, Bernhard Reinsberg, Thomas H. Stubbs, Lawrence P. King

Twitter Demographics

The data shown below were collected from the profiles of 481 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 20%
Student > Bachelor 7 11%
Researcher 7 11%
Student > Doctoral Student 6 10%
Student > Master 4 7%
Other 13 21%
Unknown 12 20%
Readers by discipline Count As %
Social Sciences 22 36%
Economics, Econometrics and Finance 7 11%
Agricultural and Biological Sciences 6 10%
Arts and Humanities 2 3%
Medicine and Dentistry 2 3%
Other 6 10%
Unknown 16 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 457. 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 16 September 2020.
All research outputs
#27,322
of 15,881,162 outputs
Outputs from Social Science Research
#4
of 1,048 outputs
Outputs of similar age
#853
of 336,439 outputs
Outputs of similar age from Social Science Research
#2
of 33 outputs
Altmetric has tracked 15,881,162 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,048 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one has done particularly well, scoring higher than 99% 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 336,439 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.