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Improving official statistics in emerging markets using machine learning and mobile phone data

Overview of attention for article published in EPJ Data Science, May 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 456)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
78 X users
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
140 Mendeley
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Title
Improving official statistics in emerging markets using machine learning and mobile phone data
Published in
EPJ Data Science, May 2017
DOI 10.1140/epjds/s13688-017-0099-3
Authors

Eaman Jahani, Pål Sundsøy, Johannes Bjelland, Linus Bengtsson, Alex ‘Sandy’ Pentland, Yves-Alexandre de Montjoye

X Demographics

X Demographics

The data shown below were collected from the profiles of 78 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 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 140 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 16%
Student > Ph. D. Student 20 14%
Student > Master 18 13%
Student > Bachelor 9 6%
Professor 5 4%
Other 19 14%
Unknown 47 34%
Readers by discipline Count As %
Computer Science 32 23%
Engineering 19 14%
Social Sciences 12 9%
Economics, Econometrics and Finance 7 5%
Mathematics 5 4%
Other 16 11%
Unknown 49 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 99. 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 May 2021.
All research outputs
#436,483
of 25,714,183 outputs
Outputs from EPJ Data Science
#26
of 456 outputs
Outputs of similar age
#8,915
of 326,132 outputs
Outputs of similar age from EPJ Data Science
#2
of 11 outputs
Altmetric has tracked 25,714,183 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 456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.9. 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 326,132 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 97% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.