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Temporal self-regulation theory: a neurobiologically informed model for physical activity behavior

Overview of attention for article published in Frontiers in Human Neuroscience, March 2015
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

policy
6 policy sources
twitter
18 X users

Citations

dimensions_citation
86 Dimensions

Readers on

mendeley
164 Mendeley
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Title
Temporal self-regulation theory: a neurobiologically informed model for physical activity behavior
Published in
Frontiers in Human Neuroscience, March 2015
DOI 10.3389/fnhum.2015.00117
Pubmed ID
Authors

Peter A. Hall, Geoffrey T. Fong

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Brazil 1 <1%
Unknown 161 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 20%
Student > Master 22 13%
Researcher 15 9%
Student > Bachelor 15 9%
Student > Doctoral Student 14 9%
Other 30 18%
Unknown 35 21%
Readers by discipline Count As %
Psychology 55 34%
Sports and Recreations 15 9%
Nursing and Health Professions 13 8%
Medicine and Dentistry 10 6%
Neuroscience 9 5%
Other 22 13%
Unknown 40 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 01 June 2023.
All research outputs
#1,341,737
of 26,017,215 outputs
Outputs from Frontiers in Human Neuroscience
#616
of 7,768 outputs
Outputs of similar age
#16,749
of 281,590 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#30
of 184 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,768 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done particularly well, scoring higher than 92% 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 281,590 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 93% of its contemporaries.
We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.