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Identifying Active Travel Behaviors in Challenging Environments Using GPS, Accelerometers, and Machine Learning Algorithms

Overview of attention for article published in Frontiers in Public Health, April 2014
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
13 X users
patent
5 patents

Citations

dimensions_citation
109 Dimensions

Readers on

mendeley
203 Mendeley
citeulike
1 CiteULike
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Title
Identifying Active Travel Behaviors in Challenging Environments Using GPS, Accelerometers, and Machine Learning Algorithms
Published in
Frontiers in Public Health, April 2014
DOI 10.3389/fpubh.2014.00036
Pubmed ID
Authors

Katherine Ellis, Suneeta Godbole, Simon Marshall, Gert Lanckriet, John Staudenmayer, Jacqueline Kerr

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 2 <1%
United States 2 <1%
United Kingdom 2 <1%
Switzerland 1 <1%
Spain 1 <1%
Brazil 1 <1%
Unknown 194 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 18%
Student > Ph. D. Student 35 17%
Researcher 34 17%
Student > Doctoral Student 16 8%
Student > Bachelor 11 5%
Other 26 13%
Unknown 45 22%
Readers by discipline Count As %
Engineering 28 14%
Computer Science 20 10%
Medicine and Dentistry 19 9%
Social Sciences 14 7%
Sports and Recreations 12 6%
Other 51 25%
Unknown 59 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 31 January 2023.
All research outputs
#3,169,321
of 25,837,817 outputs
Outputs from Frontiers in Public Health
#1,486
of 14,386 outputs
Outputs of similar age
#30,360
of 243,517 outputs
Outputs of similar age from Frontiers in Public Health
#5
of 40 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,386 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 89% 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 243,517 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 87% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.