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

Overview of attention for article published in EPJ Data Science, June 2017
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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 (86th percentile)

Mentioned by

news
2 news outlets

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
7 Mendeley
Title
Erratum to: Improving official statistics in emerging markets using machine learning and mobile phone data
Published in
EPJ Data Science, June 2017
DOI 10.1140/epjds/s13688-017-0106-8
Authors

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

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Ph. D. Student 1 14%
Lecturer 1 14%
Student > Postgraduate 1 14%
Unknown 2 29%
Readers by discipline Count As %
Social Sciences 2 29%
Mathematics 1 14%
Computer Science 1 14%
Business, Management and Accounting 1 14%
Unknown 2 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 23 May 2017.
All research outputs
#2,155,575
of 22,982,639 outputs
Outputs from EPJ Data Science
#193
of 377 outputs
Outputs of similar age
#43,470
of 317,339 outputs
Outputs of similar age from EPJ Data Science
#9
of 12 outputs
Altmetric has tracked 22,982,639 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 377 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.1. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 317,339 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.