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Developing a comprehensive time series of GDP per capita for 210 countries from 1950 to 2015

Overview of attention for article published in Population Health Metrics, July 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#38 of 390)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
8 X users
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
93 Dimensions

Readers on

mendeley
92 Mendeley
citeulike
1 CiteULike
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Title
Developing a comprehensive time series of GDP per capita for 210 countries from 1950 to 2015
Published in
Population Health Metrics, July 2012
DOI 10.1186/1478-7954-10-12
Pubmed ID
Authors

Spencer L James, Paul Gubbins, Christopher JL Murray, Emmanuela Gakidou

Abstract

Income has been extensively studied and utilized as a determinant of health. There are several sources of income expressed as gross domestic product (GDP) per capita, but there are no time series that are complete for the years between 1950 and 2015 for the 210 countries for which data exist. It is in the interest of population health research to establish a global time series that is complete from 1950 to 2015.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
Austria 1 1%
India 1 1%
Singapore 1 1%
Mexico 1 1%
Japan 1 1%
Unknown 86 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 17%
Student > Ph. D. Student 15 16%
Student > Master 10 11%
Student > Bachelor 8 9%
Professor > Associate Professor 5 5%
Other 20 22%
Unknown 18 20%
Readers by discipline Count As %
Medicine and Dentistry 17 18%
Social Sciences 14 15%
Economics, Econometrics and Finance 9 10%
Environmental Science 5 5%
Earth and Planetary Sciences 4 4%
Other 21 23%
Unknown 22 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 July 2022.
All research outputs
#1,560,757
of 23,700,294 outputs
Outputs from Population Health Metrics
#38
of 390 outputs
Outputs of similar age
#9,494
of 166,291 outputs
Outputs of similar age from Population Health Metrics
#2
of 8 outputs
Altmetric has tracked 23,700,294 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 390 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has done particularly well, scoring higher than 91% 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 166,291 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 94% 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 6 of them.