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X Demographics
Mendeley readers
Attention Score in Context
Title |
Towards better digital pathology workflows: programming libraries for high-speed sharpness assessment of Whole Slide Images
|
---|---|
Published in |
Diagnostic Pathology, December 2014
|
DOI | 10.1186/1746-1596-9-s1-s3 |
Pubmed ID | |
Authors |
David Ameisen, Christophe Deroulers, Valérie Perrier, Fatiha Bouhidel, Maxime Battistella, Luc Legrès, Anne Janin, Philippe Bertheau, Jean-Baptiste Yunès |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 4 | 33% |
United Kingdom | 2 | 17% |
Egypt | 1 | 8% |
United States | 1 | 8% |
Unknown | 4 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 83% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 3% |
France | 1 | 1% |
Unknown | 72 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 15% |
Student > Postgraduate | 8 | 11% |
Student > Master | 8 | 11% |
Student > Bachelor | 7 | 9% |
Student > Ph. D. Student | 7 | 9% |
Other | 15 | 20% |
Unknown | 19 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 18 | 24% |
Medicine and Dentistry | 15 | 20% |
Social Sciences | 7 | 9% |
Engineering | 4 | 5% |
Nursing and Health Professions | 3 | 4% |
Other | 7 | 9% |
Unknown | 21 | 28% |
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 10 January 2015.
All research outputs
#4,137,519
of 25,576,275 outputs
Outputs from Diagnostic Pathology
#79
of 1,196 outputs
Outputs of similar age
#53,524
of 361,240 outputs
Outputs of similar age from Diagnostic Pathology
#2
of 31 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,196 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 93% 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 361,240 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 85% of its contemporaries.
We're also able to compare this research output to 31 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 96% of its contemporaries.