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Mendeley readers
Attention Score in Context
Chapter title |
Retinal Image Quality Classification Using Saliency Maps and CNNs
|
---|---|
Chapter number | 21 |
Book title |
Machine Learning in Medical Imaging
|
Published in |
Lecture notes in computer science, October 2016
|
DOI | 10.1007/978-3-319-47157-0_21 |
Book ISBNs |
978-3-31-947156-3, 978-3-31-947157-0
|
Authors |
Dwarikanath Mahapatra, Pallab K. Roy, Suman Sedai, Rahil Garnavi, Mahapatra, Dwarikanath, Roy, Pallab K., Sedai, Suman, Garnavi, Rahil |
Editors |
Li Wang, Ehsan Adeli, Qian Wang, Yinghuan Shi, Heung-Il Suk |
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 % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 22% |
Researcher | 5 | 16% |
Student > Bachelor | 3 | 9% |
Professor | 3 | 9% |
Student > Master | 2 | 6% |
Other | 2 | 6% |
Unknown | 10 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 22% |
Engineering | 4 | 13% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Other | 3 | 9% |
Unknown | 15 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 487. 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 23 February 2017.
All research outputs
#44,075
of 22,893,031 outputs
Outputs from Lecture notes in computer science
#5
of 8,129 outputs
Outputs of similar age
#1,052
of 324,317 outputs
Outputs of similar age from Lecture notes in computer science
#2
of 533 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 99% 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 324,317 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 99% of its contemporaries.
We're also able to compare this research output to 533 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 99% of its contemporaries.