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Evaluation of home detection algorithms on mobile phone data using individual-level ground truth

Overview of attention for article published in EPJ Data Science, June 2021
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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 (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
28 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
32 Mendeley
Title
Evaluation of home detection algorithms on mobile phone data using individual-level ground truth
Published in
EPJ Data Science, June 2021
DOI 10.1140/epjds/s13688-021-00284-9
Pubmed ID
Authors

Luca Pappalardo, Leo Ferres, Manuel Sacasa, Ciro Cattuto, Loreto Bravo

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 22%
Student > Master 4 13%
Researcher 4 13%
Other 3 9%
Professor > Associate Professor 2 6%
Other 3 9%
Unknown 9 28%
Readers by discipline Count As %
Computer Science 6 19%
Earth and Planetary Sciences 3 9%
Engineering 3 9%
Physics and Astronomy 2 6%
Social Sciences 2 6%
Other 6 19%
Unknown 10 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 24 December 2021.
All research outputs
#1,907,772
of 23,340,595 outputs
Outputs from EPJ Data Science
#173
of 383 outputs
Outputs of similar age
#49,799
of 448,302 outputs
Outputs of similar age from EPJ Data Science
#6
of 18 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 383 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.6. This one has gotten more attention than average, scoring higher than 55% 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 448,302 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 88% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.