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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 14 | 18% |
United Kingdom | 7 | 9% |
France | 5 | 6% |
Argentina | 5 | 6% |
Spain | 4 | 5% |
Belgium | 2 | 3% |
Italy | 2 | 3% |
Cameroon | 1 | 1% |
Germany | 1 | 1% |
Other | 10 | 13% |
Unknown | 27 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 61 | 78% |
Scientists | 14 | 18% |
Science communicators (journalists, bloggers, editors) | 3 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 139 | 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 | 46 | 33% |
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 | 12% |
Unknown | 48 | 35% |
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.