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Using Field Based Data to Model Sprint Track Cycling Performance

Overview of attention for article published in Sports Medicine - Open, March 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
18 Mendeley
Title
Using Field Based Data to Model Sprint Track Cycling Performance
Published in
Sports Medicine - Open, March 2021
DOI 10.1186/s40798-021-00310-0
Pubmed ID
Authors

Hamish A. Ferguson, Chris Harnish, J. Geoffrey Chase

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 22%
Student > Bachelor 2 11%
Student > Ph. D. Student 2 11%
Professor 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 8 44%
Readers by discipline Count As %
Sports and Recreations 8 44%
Nursing and Health Professions 1 6%
Unknown 9 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 March 2021.
All research outputs
#4,860,585
of 18,873,384 outputs
Outputs from Sports Medicine - Open
#191
of 303 outputs
Outputs of similar age
#117,387
of 367,800 outputs
Outputs of similar age from Sports Medicine - Open
#1
of 1 outputs
Altmetric has tracked 18,873,384 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 303 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.7. This one is in the 36th percentile – i.e., 36% 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 367,800 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them