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X Demographics
Mendeley readers
Attention Score in Context
| Title |
How structural adjustment programs affect inequality: A disaggregated analysis of IMF conditionality, 1980–2014
|
|---|---|
| Published in |
Social Science Research, January 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 |
X Demographics
The data shown below were collected from the profiles of 453 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ecuador | 164 | 36% |
| United States | 17 | 4% |
| Argentina | 14 | 3% |
| United Kingdom | 9 | 2% |
| Chile | 6 | 1% |
| Canada | 6 | 1% |
| Spain | 5 | 1% |
| Italy | 5 | 1% |
| Mexico | 5 | 1% |
| Other | 36 | 8% |
| Unknown | 186 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 412 | 91% |
| Scientists | 34 | 8% |
| Practitioners (doctors, other healthcare professionals) | 5 | 1% |
| Science communicators (journalists, bloggers, editors) | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Unknown | 161 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 17% |
| Student > Bachelor | 21 | 13% |
| Researcher | 13 | 8% |
| Student > Master | 10 | 6% |
| Student > Doctoral Student | 9 | 6% |
| Other | 31 | 19% |
| Unknown | 50 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 45 | 28% |
| Economics, Econometrics and Finance | 23 | 14% |
| Business, Management and Accounting | 9 | 6% |
| Agricultural and Biological Sciences | 8 | 5% |
| Arts and Humanities | 5 | 3% |
| Other | 18 | 11% |
| Unknown | 54 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 490. 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 27 November 2023.
All research outputs
#54,578
of 25,765,370 outputs
Outputs from Social Science Research
#6
of 1,406 outputs
Outputs of similar age
#1,075
of 449,307 outputs
Outputs of similar age from Social Science Research
#1
of 31 outputs
Altmetric has tracked 25,765,370 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 1,406 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. 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 449,307 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 31 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 96% of its contemporaries.