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The Design and Development of a Personalized Leisure Time Physical Activity Application Based on Behavior Change Theories, End-User Perceptions, and Principles From Empirical Data Mining

Overview of attention for article published in Frontiers in Public Health, February 2021
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1 X user

Readers on

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108 Mendeley
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Title
The Design and Development of a Personalized Leisure Time Physical Activity Application Based on Behavior Change Theories, End-User Perceptions, and Principles From Empirical Data Mining
Published in
Frontiers in Public Health, February 2021
DOI 10.3389/fpubh.2020.528472
Pubmed ID
Authors

Karlijn Sporrel, Rémi D. D. De Boer, Shihan Wang, Nicky Nibbeling, Monique Simons, Marije Deutekom, Dick Ettema, Paula C. Castro, Victor Zuniga Dourado, Ben Kröse

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 17%
Student > Ph. D. Student 9 8%
Student > Doctoral Student 7 6%
Student > Postgraduate 6 6%
Student > Bachelor 5 5%
Other 11 10%
Unknown 52 48%
Readers by discipline Count As %
Computer Science 11 10%
Psychology 10 9%
Medicine and Dentistry 7 6%
Sports and Recreations 4 4%
Business, Management and Accounting 3 3%
Other 16 15%
Unknown 57 53%
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 15 February 2021.
All research outputs
#20,685,434
of 23,281,392 outputs
Outputs from Frontiers in Public Health
#7,988
of 10,765 outputs
Outputs of similar age
#433,072
of 505,764 outputs
Outputs of similar age from Frontiers in Public Health
#311
of 375 outputs
Altmetric has tracked 23,281,392 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,765 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 1st percentile – i.e., 1% 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 505,764 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 375 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.