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Mendeley readers
Attention Score in Context
Chapter title |
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation
|
---|---|
Chapter number | 68 |
Book title |
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
|
Published in |
Lecture notes in computer science, November 2015
|
DOI | 10.1007/978-3-319-24553-9_68 |
Book ISBNs |
978-3-31-924552-2, 978-3-31-924553-9
|
Authors |
Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim B. Turkbey, Ronald M. Summers, Roth, Holger R., Lu, Le, Farag, Amal, Shin, Hoo-Chang, Liu, Jiamin, Turkbey, Evrim B., Summers, Ronald M. |
Editors |
Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro F. Frangi |
Mendeley readers
The data shown below were compiled from readership statistics for 331 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | <1% |
United States | 2 | <1% |
Canada | 2 | <1% |
Australia | 1 | <1% |
Colombia | 1 | <1% |
Malaysia | 1 | <1% |
Unknown | 321 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 61 | 18% |
Researcher | 61 | 18% |
Student > Master | 46 | 14% |
Student > Bachelor | 28 | 8% |
Other | 16 | 5% |
Other | 36 | 11% |
Unknown | 83 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 125 | 38% |
Engineering | 52 | 16% |
Medicine and Dentistry | 15 | 5% |
Physics and Astronomy | 9 | 3% |
Agricultural and Biological Sciences | 8 | 2% |
Other | 22 | 7% |
Unknown | 100 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 03 May 2022.
All research outputs
#5,510,991
of 25,605,018 outputs
Outputs from Lecture notes in computer science
#1,625
of 8,164 outputs
Outputs of similar age
#82,415
of 393,719 outputs
Outputs of similar age from Lecture notes in computer science
#218
of 501 outputs
Altmetric has tracked 25,605,018 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,164 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 78% 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 393,719 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 77% of its contemporaries.
We're also able to compare this research output to 501 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 55% of its contemporaries.