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Mendeley readers
Attention Score in Context
| Title |
Computer Vision - ECCV 2004
|
|---|---|
| Published by |
Lecture notes in computer science, January 2004
|
| DOI | 10.1007/b97871 |
| ISBNs |
978-3-54-021982-8, 978-3-54-024672-5
|
| Authors |
Tomáš Pajdla, Jiří Matas |
| Editors |
Pajdla, Tomáš, Matas, Jiří |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Germany | 2 | 2% |
| Korea, Republic of | 2 | 2% |
| Japan | 2 | 2% |
| Brazil | 1 | <1% |
| Unknown | 93 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 28% |
| Student > Master | 24 | 23% |
| Student > Bachelor | 13 | 13% |
| Researcher | 7 | 7% |
| Student > Doctoral Student | 4 | 4% |
| Other | 8 | 8% |
| Unknown | 18 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 45 | 44% |
| Engineering | 26 | 25% |
| Mathematics | 3 | 3% |
| Agricultural and Biological Sciences | 3 | 3% |
| Business, Management and Accounting | 1 | <1% |
| Other | 7 | 7% |
| Unknown | 18 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 27 March 2019.
All research outputs
#3,815,678
of 25,837,817 outputs
Outputs from Lecture notes in computer science
#778
of 8,229 outputs
Outputs of similar age
#10,264
of 147,517 outputs
Outputs of similar age from Lecture notes in computer science
#20
of 115 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% 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 90% 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 147,517 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 115 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.