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Mendeley readers
Attention Score in Context
| Chapter title |
Pattern Recognition
|
|---|---|
| Chapter number | 3 |
| Book title |
Pattern Recognition
|
| Published in |
Lecture notes in computer science, September 2014
|
| DOI | 10.1007/978-3-319-11752-2_3 |
| Book ISBNs |
978-3-31-911751-5, 978-3-31-911752-2
|
| Authors |
Daniel Scharstein, Heiko Hirschmüller, York Kitajima, Greg Krathwohl, Nera Nešić, Xi Wang, Porter Westling, Scharstein, Daniel, Hirschmüller, Heiko, Kitajima, York, Krathwohl, Greg, Nešić, Nera, Wang, Xi, Westling, Porter |
Mendeley readers
The data shown below were compiled from readership statistics for 362 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Austria | 2 | <1% |
| France | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Germany | 1 | <1% |
| Morocco | 1 | <1% |
| Australia | 1 | <1% |
| Italy | 1 | <1% |
| Canada | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 348 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 104 | 29% |
| Student > Master | 79 | 22% |
| Researcher | 39 | 11% |
| Student > Bachelor | 25 | 7% |
| Lecturer | 9 | 2% |
| Other | 29 | 8% |
| Unknown | 77 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 156 | 43% |
| Engineering | 97 | 27% |
| Mathematics | 5 | 1% |
| Agricultural and Biological Sciences | 3 | <1% |
| Medicine and Dentistry | 2 | <1% |
| Other | 11 | 3% |
| Unknown | 88 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 20 June 2023.
All research outputs
#3,506,578
of 23,915,168 outputs
Outputs from Lecture notes in computer science
#774
of 8,168 outputs
Outputs of similar age
#36,503
of 240,661 outputs
Outputs of similar age from Lecture notes in computer science
#15
of 228 outputs
Altmetric has tracked 23,915,168 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,168 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 89% 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 240,661 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 84% of its contemporaries.
We're also able to compare this research output to 228 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 93% of its contemporaries.