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Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India*

Overview of attention for article published in Demography, February 2001
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
policy
22 policy sources
twitter
1 X user

Citations

dimensions_citation
4359 Dimensions

Readers on

mendeley
553 Mendeley
connotea
1 Connotea
Title
Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India*
Published in
Demography, February 2001
DOI 10.1353/dem.2001.0003
Pubmed ID
Authors

Deon Filmer, Lant H. Pritchett

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 553 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 8 1%
United States 5 <1%
Netherlands 2 <1%
Germany 2 <1%
Bangladesh 1 <1%
France 1 <1%
Ghana 1 <1%
Kenya 1 <1%
India 1 <1%
Other 5 <1%
Unknown 526 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 111 20%
Researcher 104 19%
Student > Master 98 18%
Student > Doctoral Student 35 6%
Professor > Associate Professor 28 5%
Other 101 18%
Unknown 76 14%
Readers by discipline Count As %
Economics, Econometrics and Finance 108 20%
Medicine and Dentistry 93 17%
Social Sciences 86 16%
Agricultural and Biological Sciences 33 6%
Nursing and Health Professions 29 5%
Other 91 16%
Unknown 113 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 108. 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 2024.
All research outputs
#396,189
of 26,017,215 outputs
Outputs from Demography
#102
of 2,039 outputs
Outputs of similar age
#336
of 116,654 outputs
Outputs of similar age from Demography
#1
of 8 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one has done particularly well, scoring higher than 94% 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 116,654 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 8 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