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Mendeley readers
Attention Score in Context
Chapter title |
A robust and efficient doubly regularized metric learning approach
|
---|---|
Chapter number | 46 |
Book title |
Computer Vision – ECCV 2012
|
Published in |
Lecture notes in computer science, October 2012
|
DOI | 10.1007/978-3-642-33765-9_46 |
Pubmed ID | |
Book ISBNs |
978-3-64-233764-2, 978-3-64-233765-9
|
Authors |
Liu M, Vemuri BC, Meizhu Liu, Baba C. Vemuri, Liu, Meizhu, Vemuri, Baba C. |
Editors |
Andrew Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
France | 1 | 3% |
Germany | 1 | 3% |
Unknown | 27 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 30% |
Student > Bachelor | 6 | 20% |
Researcher | 4 | 13% |
Student > Master | 3 | 10% |
Professor | 1 | 3% |
Other | 2 | 7% |
Unknown | 5 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 16 | 53% |
Engineering | 7 | 23% |
Agricultural and Biological Sciences | 1 | 3% |
Mathematics | 1 | 3% |
Unknown | 5 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 30 December 2022.
All research outputs
#4,872,869
of 23,452,723 outputs
Outputs from Lecture notes in computer science
#1,586
of 8,158 outputs
Outputs of similar age
#35,266
of 174,602 outputs
Outputs of similar age from Lecture notes in computer science
#12
of 91 outputs
Altmetric has tracked 23,452,723 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 79% 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 174,602 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.