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An end-to-end statistical process with mobile network data for official statistics

Overview of attention for article published in EPJ Data Science, April 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
30 Mendeley
Title
An end-to-end statistical process with mobile network data for official statistics
Published in
EPJ Data Science, April 2021
DOI 10.1140/epjds/s13688-021-00275-w
Authors

David Salgado, Luis Sanguiao, Bogdan Oancea, Sandra Barragán, Marian Necula

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Lecturer 3 10%
Student > Bachelor 3 10%
Other 3 10%
Researcher 3 10%
Other 5 17%
Unknown 8 27%
Readers by discipline Count As %
Computer Science 5 17%
Social Sciences 4 13%
Business, Management and Accounting 3 10%
Arts and Humanities 1 3%
Nursing and Health Professions 1 3%
Other 6 20%
Unknown 10 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 03 May 2021.
All research outputs
#6,970,675
of 23,308,124 outputs
Outputs from EPJ Data Science
#315
of 382 outputs
Outputs of similar age
#150,754
of 437,488 outputs
Outputs of similar age from EPJ Data Science
#16
of 19 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 382 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one is in the 17th percentile – i.e., 17% 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 437,488 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.