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First-person reading activity recognition by deep learning with synthetically generated images

Overview of attention for article published in EURASIP Journal on Image and Video Processing, May 2018
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About this Attention Score

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

Mentioned by

twitter
6 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
12 Mendeley
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Title
First-person reading activity recognition by deep learning with synthetically generated images
Published in
EURASIP Journal on Image and Video Processing, May 2018
DOI 10.1186/s13640-018-0272-z
Authors

Yuta Segawa, Kazuhiko Kawamoto, Kazushi Okamoto

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Student > Bachelor 1 8%
Lecturer 1 8%
Student > Postgraduate 1 8%
Unknown 6 50%
Readers by discipline Count As %
Computer Science 4 33%
Mathematics 1 8%
Agricultural and Biological Sciences 1 8%
Unknown 6 50%
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 25 May 2018.
All research outputs
#14,605,790
of 25,382,440 outputs
Outputs from EURASIP Journal on Image and Video Processing
#116
of 233 outputs
Outputs of similar age
#170,233
of 340,921 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#4
of 14 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 233 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 50% 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 340,921 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 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 71% of its contemporaries.