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Look me in the eye: evaluating the accuracy of smartphone-based eye tracking for potential application in autism spectrum disorder research

Overview of attention for article published in BioMedical Engineering OnLine, May 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
105 Mendeley
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Title
Look me in the eye: evaluating the accuracy of smartphone-based eye tracking for potential application in autism spectrum disorder research
Published in
BioMedical Engineering OnLine, May 2019
DOI 10.1186/s12938-019-0670-1
Pubmed ID
Authors

Maximilian A. R. Strobl, Florian Lipsmeier, Liliana R. Demenescu, Christian Gossens, Michael Lindemann, Maarten De Vos

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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 11%
Student > Bachelor 12 11%
Student > Master 11 10%
Student > Ph. D. Student 10 10%
Student > Doctoral Student 8 8%
Other 12 11%
Unknown 40 38%
Readers by discipline Count As %
Computer Science 12 11%
Psychology 12 11%
Medicine and Dentistry 10 10%
Engineering 5 5%
Social Sciences 4 4%
Other 15 14%
Unknown 47 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 May 2019.
All research outputs
#7,590,701
of 23,144,579 outputs
Outputs from BioMedical Engineering OnLine
#213
of 827 outputs
Outputs of similar age
#138,877
of 349,794 outputs
Outputs of similar age from BioMedical Engineering OnLine
#4
of 13 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 827 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 62% 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 349,794 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 55% of its contemporaries.
We're also able to compare this research output to 13 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 69% of its contemporaries.