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A new and general approach to signal denoising and eye movement classification based on segmented linear regression

Overview of attention for article published in Scientific Reports, December 2017
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
1 news outlet
twitter
4 X users

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
109 Mendeley
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Title
A new and general approach to signal denoising and eye movement classification based on segmented linear regression
Published in
Scientific Reports, December 2017
DOI 10.1038/s41598-017-17983-x
Pubmed ID
Authors

Jami Pekkanen, Otto Lappi

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 109 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 24%
Student > Master 25 23%
Researcher 17 16%
Student > Bachelor 8 7%
Student > Postgraduate 4 4%
Other 15 14%
Unknown 14 13%
Readers by discipline Count As %
Engineering 26 24%
Computer Science 20 18%
Psychology 18 17%
Neuroscience 8 7%
Agricultural and Biological Sciences 3 3%
Other 17 16%
Unknown 17 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 18 March 2022.
All research outputs
#2,834,229
of 26,017,215 outputs
Outputs from Scientific Reports
#24,652
of 142,961 outputs
Outputs of similar age
#60,359
of 452,684 outputs
Outputs of similar age from Scientific Reports
#748
of 4,288 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 142,961 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done well, scoring higher than 82% 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 452,684 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 4,288 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.