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 |
X Demographics
The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 4 | 13% |
United States | 3 | 10% |
United Kingdom | 2 | 7% |
Mexico | 1 | 3% |
Brazil | 1 | 3% |
South Africa | 1 | 3% |
Switzerland | 1 | 3% |
Kenya | 1 | 3% |
Thailand | 1 | 3% |
Other | 0 | 0% |
Unknown | 15 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 28 | 93% |
Scientists | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 1 | 2% |
Unknown | 47 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 23% |
Student > Ph. D. Student | 7 | 15% |
Student > Bachelor | 5 | 10% |
Student > Postgraduate | 3 | 6% |
Professor > Associate Professor | 3 | 6% |
Other | 7 | 15% |
Unknown | 12 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 25 | 52% |
Engineering | 5 | 10% |
Biochemistry, Genetics and Molecular Biology | 2 | 4% |
Arts and Humanities | 1 | 2% |
Neuroscience | 1 | 2% |
Other | 1 | 2% |
Unknown | 13 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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
#1,586,321
of 25,248,299 outputs
Outputs from IPSJ Transactions on Computer Vision and Applications
#4
of 36 outputs
Outputs of similar age
#29,501
of 377,159 outputs
Outputs of similar age from IPSJ Transactions on Computer Vision and Applications
#2
of 2 outputs
Altmetric has tracked 25,248,299 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 36 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one scored the same or higher as 32 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 377,159 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 92% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.