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Mendeley readers
Attention Score in Context
Chapter title |
Learning a Predictable and Generative Vector Representation for Objects
|
---|---|
Chapter number | 29 |
Book title |
Computer Vision – ECCV 2016
|
Published in |
Lecture notes in computer science, September 2016
|
DOI | 10.1007/978-3-319-46466-4_29 |
Book ISBNs |
978-3-31-946465-7, 978-3-31-946466-4
|
Authors |
Rohit Girdhar, David F. Fouhey, Mikel Rodriguez, Abhinav Gupta, Girdhar, Rohit, Fouhey, David F., Rodriguez, Mikel, Gupta, Abhinav |
Editors |
Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling |
Mendeley readers
The data shown below were compiled from readership statistics for 394 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | <1% |
Norway | 1 | <1% |
Unknown | 391 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 114 | 29% |
Student > Master | 87 | 22% |
Researcher | 41 | 10% |
Student > Bachelor | 33 | 8% |
Student > Doctoral Student | 14 | 4% |
Other | 38 | 10% |
Unknown | 67 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 227 | 58% |
Engineering | 59 | 15% |
Mathematics | 5 | 1% |
Physics and Astronomy | 4 | 1% |
Agricultural and Biological Sciences | 3 | <1% |
Other | 21 | 5% |
Unknown | 75 | 19% |
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 11 October 2022.
All research outputs
#7,729,343
of 23,505,669 outputs
Outputs from Lecture notes in computer science
#2,491
of 8,137 outputs
Outputs of similar age
#115,556
of 322,600 outputs
Outputs of similar age from Lecture notes in computer science
#159
of 520 outputs
Altmetric has tracked 23,505,669 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,137 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 gotten more attention than average, scoring higher than 54% 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 322,600 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 520 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 59% of its contemporaries.