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Mendeley readers
Attention Score in Context
Chapter title |
Small Sample Learning of Superpixel Classifiers for EM Segmentation
|
---|---|
Chapter number | 49 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
|
Published in |
Lecture notes in computer science, September 2014
|
DOI | 10.1007/978-3-319-10404-1_49 |
Pubmed ID | |
Book ISBNs |
978-3-31-910403-4, 978-3-31-910404-1
|
Authors |
Toufiq Parag, Stephen Plaza, Louis Scheffer, Parag, Toufiq, Plaza, Stephen, Scheffer, Louis |
Editors |
Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert Howe |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 5% |
Japan | 1 | 3% |
Germany | 1 | 3% |
Unknown | 36 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 35% |
Researcher | 7 | 18% |
Other | 5 | 13% |
Librarian | 3 | 8% |
Professor | 3 | 8% |
Other | 5 | 13% |
Unknown | 3 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 19 | 48% |
Engineering | 6 | 15% |
Medicine and Dentistry | 3 | 8% |
Agricultural and Biological Sciences | 2 | 5% |
Physics and Astronomy | 2 | 5% |
Other | 1 | 3% |
Unknown | 7 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 25 January 2022.
All research outputs
#7,531,132
of 22,979,862 outputs
Outputs from Lecture notes in computer science
#2,492
of 8,145 outputs
Outputs of similar age
#80,131
of 246,620 outputs
Outputs of similar age from Lecture notes in computer science
#92
of 230 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,145 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 54% 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 246,620 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 55% of its contemporaries.
We're also able to compare this research output to 230 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 54% of its contemporaries.