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Roller skiing biomechanical information analysis using GPS, IMU, and atmospheric pressure sensors: a case study

Overview of attention for article published in Sports Engineering, June 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

twitter
9 X users

Citations

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8 Dimensions

Readers on

mendeley
22 Mendeley
Title
Roller skiing biomechanical information analysis using GPS, IMU, and atmospheric pressure sensors: a case study
Published in
Sports Engineering, June 2018
DOI 10.1007/s12283-018-0278-x
Authors

Jeheon Moon, Jinhae Kim, Jinhyeok Kim, Jihyun Kim, Chaeeun Kim, Hyeyoung Kim

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 18%
Student > Ph. D. Student 3 14%
Other 2 9%
Student > Doctoral Student 2 9%
Professor 1 5%
Other 3 14%
Unknown 7 32%
Readers by discipline Count As %
Engineering 6 27%
Sports and Recreations 4 18%
Social Sciences 1 5%
Unspecified 1 5%
Unknown 10 45%
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 02 November 2022.
All research outputs
#6,570,497
of 23,975,976 outputs
Outputs from Sports Engineering
#149
of 365 outputs
Outputs of similar age
#109,968
of 332,323 outputs
Outputs of similar age from Sports Engineering
#9
of 12 outputs
Altmetric has tracked 23,975,976 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 365 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 58% 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 332,323 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 66% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.