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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
13 news outlets
twitter
25 X users
patent
6 patents

Readers on

mendeley
206 Mendeley
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Article details
Title
Machine learning methods for detecting urinary tract infection and analysing daily living activities in people with dementia
Published in
PLOS ONE, January 2019
DOI 10.1371/journal.pone.0209909
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 206 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 28 14%
Student > Master 24 12%
Researcher 22 11%
Student > Bachelor 16 8%
Student > Doctoral Student 7 3%
Other 32 16%
Unknown 77 37%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 18 9%
Computer Science 17 8%
Engineering 16 8%
Nursing and Health Professions 15 7%
Social Sciences 10 5%
Other 46 22%
Unknown 84 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 108. 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 11 August 2026.
All research outputs
#483,483
of 33,148,248 outputs
Outputs from PLOS ONE
#6,244
of 219,397 outputs
Outputs of similar age
#8,966
of 497,157 outputs
Outputs of similar age from PLOS ONE
#104
of 3,192 outputs
Altmetric has tracked 33,148,248 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 219,397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.1. This one has done particularly well, scoring higher than 97% 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 497,157 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 98% of its contemporaries.
We're also able to compare this research output to 3,192 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.