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Effect of saddle height on skin temperature measured in different days of cycling

Overview of attention for article published in SpringerPlus, February 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

7 tweeters
1 Facebook page


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Readers on

57 Mendeley
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Effect of saddle height on skin temperature measured in different days of cycling
Published in
SpringerPlus, February 2016
DOI 10.1186/s40064-016-1843-z
Pubmed ID

Jose Ignacio Priego Quesada, Felipe P. Carpes, Rosario Salvador Palmer, Pedro Pérez-Soriano, Rosa Mª Cibrián Ortiz de Anda


Infrared thermography can be useful to explore the effects of exercise on neuromuscular function. During cycling, it could be used to investigate the effects of saddle height on thermoregulation. The aim of this study was to examine whether different cycling postures, elicited by different knee flexion angles, could influence skin temperature. Furthermore, we also determined whether the reproducibility of thermal measurements in response to cycling differed in the body regions affected or not affected by saddle height. Sixteen cyclists participated in three tests of 45 min of cycling at their individual 50 % peak power output. Each test was performed in a different knee flexion position on the bicycle (20°, 30°, 40° knee flexion when the pedal crank was at 180°). Different knee angles were obtained by changing saddle height. Skin temperatures were determined by infrared thermography before, immediately after and 10 min after the cycling test, in 16 different regions of interest (ROI) in the trunk and lower limbs. Changes in saddle height did not result in changes in skin temperature in the ROI. However, lower knee flexion elicited higher temperature in popliteus after cycling than higher flexion (p = 0.008 and ES = 0.8), and higher knee flexion elicited lower temperature variation in the tibialis anterior than intermediate knee flexion (p = 0.004 and ES = 0.8). Absolute temperatures obtained good and very good intraday reproducibility in the different measurements (ICCs between 0.44 and 0.85), but temperature variations showed lower reproducibility (ICCs between 0.11 and 0.74). Different postures assumed by the cyclist due to different saddle height did not influence temperature measurements. Skin temperature can be measured on different days with good repeatability, but temperature variations can be more sensitive to the effects of an intervention.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
United States 1 2%
Unknown 55 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Student > Bachelor 8 14%
Student > Master 7 12%
Student > Postgraduate 5 9%
Professor 4 7%
Other 13 23%
Unknown 9 16%
Readers by discipline Count As %
Sports and Recreations 19 33%
Nursing and Health Professions 7 12%
Medicine and Dentistry 7 12%
Engineering 5 9%
Agricultural and Biological Sciences 3 5%
Other 4 7%
Unknown 12 21%

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 01 April 2016.
All research outputs
of 16,904,817 outputs
Outputs from SpringerPlus
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Outputs of similar age
of 269,713 outputs
Outputs of similar age from SpringerPlus
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Altmetric has tracked 16,904,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 81% 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 269,713 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 71% 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