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Complex Networks Models and Spectral Decomposition in the Analysis of Swimming Athletes’ Performance at Olympic Games

Overview of attention for article published in Frontiers in Physiology, September 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
8 X users

Citations

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6 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Complex Networks Models and Spectral Decomposition in the Analysis of Swimming Athletes’ Performance at Olympic Games
Published in
Frontiers in Physiology, September 2019
DOI 10.3389/fphys.2019.01134
Pubmed ID
Authors

Vanessa Helena Pereira-Ferrero, Theodore Gyle Lewis, Luciane Graziele Pereira Ferrero, Leonardo Tomazeli Duarte

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 19%
Researcher 3 11%
Lecturer 2 7%
Student > Postgraduate 2 7%
Student > Master 2 7%
Other 3 11%
Unknown 10 37%
Readers by discipline Count As %
Sports and Recreations 6 22%
Medicine and Dentistry 2 7%
Social Sciences 2 7%
Economics, Econometrics and Finance 1 4%
Computer Science 1 4%
Other 5 19%
Unknown 10 37%
Attention Score in Context

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 11 June 2024.
All research outputs
#7,582,741
of 26,439,667 outputs
Outputs from Frontiers in Physiology
#3,566
of 15,875 outputs
Outputs of similar age
#121,655
of 353,407 outputs
Outputs of similar age from Frontiers in Physiology
#86
of 345 outputs
Altmetric has tracked 26,439,667 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 15,875 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done well, scoring higher than 77% 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 353,407 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 65% of its contemporaries.
We're also able to compare this research output to 345 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.