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Mendeley readers
Attention Score in Context
Chapter title |
Detection of Retinal Vascular Bifurcations by Trainable V4-Like Filters
|
---|---|
Chapter number | 55 |
Book title |
Computer Analysis of Images and Patterns
|
Published in |
Lecture notes in computer science, January 2011
|
DOI | 10.1007/978-3-642-23672-3_55 |
Book ISBNs |
978-3-64-223671-6, 978-3-64-223672-3
|
Authors |
George Azzopardi, Nicolai Petkov |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
Netherlands | 1 | 3% |
China | 1 | 3% |
Australia | 1 | 3% |
Unknown | 28 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 31% |
Student > Ph. D. Student | 9 | 28% |
Researcher | 4 | 13% |
Student > Bachelor | 2 | 6% |
Other | 2 | 6% |
Other | 4 | 13% |
Unknown | 1 | 3% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 47% |
Engineering | 10 | 31% |
Agricultural and Biological Sciences | 1 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Other | 1 | 3% |
Unknown | 3 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 December 2020.
All research outputs
#7,182,813
of 22,703,044 outputs
Outputs from Lecture notes in computer science
#2,402
of 8,124 outputs
Outputs of similar age
#52,812
of 180,401 outputs
Outputs of similar age from Lecture notes in computer science
#71
of 317 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 69% 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 180,401 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 70% of its contemporaries.
We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.