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Combining deep features for object detection at various scales: finding small birds in landscape images

Overview of attention for article published in IPSJ Transactions on Computer Vision and Applications, August 2016
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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 (90th percentile)

Mentioned by

news
1 news outlet
twitter
36 tweeters

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
36 Mendeley
Title
Combining deep features for object detection at various scales: finding small birds in landscape images
Published in
IPSJ Transactions on Computer Vision and Applications, August 2016
DOI 10.1186/s41074-016-0006-z
Authors

Akito Takeki, Tu Tuan Trinh, Ryota Yoshihashi, Rei Kawakami, Makoto Iida, Takeshi Naemura

Twitter Demographics

The data shown below were collected from the profiles of 36 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 28%
Student > Ph. D. Student 6 17%
Student > Postgraduate 3 8%
Student > Bachelor 3 8%
Professor 2 6%
Other 6 17%
Unknown 6 17%
Readers by discipline Count As %
Computer Science 20 56%
Engineering 5 14%
Biochemistry, Genetics and Molecular Biology 2 6%
Neuroscience 1 3%
Environmental Science 1 3%
Other 0 0%
Unknown 7 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 28 December 2020.
All research outputs
#1,013,841
of 18,846,859 outputs
Outputs from IPSJ Transactions on Computer Vision and Applications
#4
of 26 outputs
Outputs of similar age
#29,805
of 308,383 outputs
Outputs of similar age from IPSJ Transactions on Computer Vision and Applications
#1
of 1 outputs
Altmetric has tracked 18,846,859 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one scored the same or higher as 22 of them.
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 308,383 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% 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