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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Microsoft COCO: Common Objects in Context
|
---|---|
Chapter number | 48 |
Book title |
Computer Vision – ECCV 2014
|
Published in |
Lecture notes in computer science, September 2014
|
DOI | 10.1007/978-3-319-10602-1_48 |
Book ISBNs |
978-3-31-910601-4, 978-3-31-910602-1
|
Authors |
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick, David Fleet, Tomas Pajdla, Bernt Schiele, Tinne Tuytelaars, Lin, Tsung-Yi, Maire, Michael, Belongie, Serge, Hays, James, Perona, Pietro, Ramanan, Deva, Dollár, Piotr, Zitnick, C. Lawrence |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8,369 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | <1% |
United Kingdom | 5 | <1% |
Japan | 4 | <1% |
Germany | 4 | <1% |
Spain | 3 | <1% |
France | 3 | <1% |
Netherlands | 2 | <1% |
Italy | 2 | <1% |
China | 2 | <1% |
Other | 13 | <1% |
Unknown | 8322 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 1507 | 18% |
Student > Ph. D. Student | 1416 | 17% |
Student > Bachelor | 849 | 10% |
Researcher | 683 | 8% |
Student > Doctoral Student | 262 | 3% |
Other | 700 | 8% |
Unknown | 2952 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2893 | 35% |
Engineering | 1455 | 17% |
Agricultural and Biological Sciences | 121 | 1% |
Earth and Planetary Sciences | 68 | <1% |
Neuroscience | 68 | <1% |
Other | 590 | 7% |
Unknown | 3174 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 44. 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 17 April 2024.
All research outputs
#959,736
of 25,837,817 outputs
Outputs from Lecture notes in computer science
#103
of 8,229 outputs
Outputs of similar age
#9,563
of 253,484 outputs
Outputs of similar age from Lecture notes in computer science
#1
of 225 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,229 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 98% 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 253,484 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 95% of its contemporaries.
We're also able to compare this research output to 225 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.