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What Are Good Situations for Running? A Machine Learning Study Using Mobile and Geographical Data

Overview of attention for article published in Frontiers in Public Health, January 2021
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Mentioned by

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2 X users

Citations

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12 Dimensions

Readers on

mendeley
21 Mendeley
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Title
What Are Good Situations for Running? A Machine Learning Study Using Mobile and Geographical Data
Published in
Frontiers in Public Health, January 2021
DOI 10.3389/fpubh.2020.536370
Pubmed ID
Authors

Shihan Wang, Simon Scheider, Karlijn Sporrel, Marije Deutekom, Joris Timmer, Ben Kröse

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 19%
Student > Master 3 14%
Lecturer 2 10%
Student > Bachelor 1 5%
Student > Doctoral Student 1 5%
Other 1 5%
Unknown 9 43%
Readers by discipline Count As %
Medicine and Dentistry 3 14%
Psychology 3 14%
Social Sciences 2 10%
Environmental Science 1 5%
Computer Science 1 5%
Other 1 5%
Unknown 10 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 January 2021.
All research outputs
#21,566,851
of 26,473,472 outputs
Outputs from Frontiers in Public Health
#8,498
of 14,996 outputs
Outputs of similar age
#412,695
of 537,850 outputs
Outputs of similar age from Frontiers in Public Health
#272
of 393 outputs
Altmetric has tracked 26,473,472 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,996 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 28th percentile – i.e., 28% 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 537,850 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 393 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.