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Remittances and inequality: a dynamic migration model

Overview of attention for article published in The Journal of Economic Inequality, June 2009
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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 (90th percentile)

Mentioned by

policy
4 policy sources

Citations

dimensions_citation
68 Dimensions

Readers on

mendeley
111 Mendeley
Title
Remittances and inequality: a dynamic migration model
Published in
The Journal of Economic Inequality, June 2009
DOI 10.1007/s10888-009-9110-y
Authors

I-Ling Shen, Frédéric Docquier, Hillel Rapoport

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Colombia 1 <1%
Unknown 109 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 27%
Researcher 15 14%
Student > Doctoral Student 11 10%
Student > Master 10 9%
Student > Postgraduate 6 5%
Other 24 22%
Unknown 15 14%
Readers by discipline Count As %
Economics, Econometrics and Finance 46 41%
Social Sciences 28 25%
Business, Management and Accounting 9 8%
Environmental Science 4 4%
Arts and Humanities 1 <1%
Other 4 4%
Unknown 19 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 17 July 2020.
All research outputs
#2,683,794
of 24,213,825 outputs
Outputs from The Journal of Economic Inequality
#53
of 322 outputs
Outputs of similar age
#9,768
of 116,526 outputs
Outputs of similar age from The Journal of Economic Inequality
#1
of 4 outputs
Altmetric has tracked 24,213,825 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 322 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 83% 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 116,526 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 90% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them