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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analyzing huge pathology images with open source software
|
|---|---|
| Published in |
Diagnostic Pathology, June 2013
|
| DOI | 10.1186/1746-1596-8-92 |
| Pubmed ID | |
| Authors |
Christophe Deroulers, David Ameisen, Mathilde Badoual, Chloé Gerin, Alexandre Granier, Marc Lartaud |
| Abstract |
Digital pathology images are increasingly used both for diagnosis and research, because slide scanners are nowadays broadly available and because the quantitative study of these images yields new insights in systems biology. However, such virtual slides build up a technical challenge since the images occupy often several gigabytes and cannot be fully opened in a computer's memory. Moreover, there is no standard format. Therefore, most common open source tools such as ImageJ fail at treating them, and the others require expensive hardware while still being prohibitively slow. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| France | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Netherlands | 1 | <1% |
| Germany | 1 | <1% |
| Denmark | 1 | <1% |
| France | 1 | <1% |
| Unknown | 123 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 20% |
| Researcher | 26 | 20% |
| Student > Master | 15 | 12% |
| Professor > Associate Professor | 10 | 8% |
| Student > Bachelor | 9 | 7% |
| Other | 21 | 16% |
| Unknown | 23 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 37 | 28% |
| Agricultural and Biological Sciences | 17 | 13% |
| Computer Science | 13 | 10% |
| Engineering | 10 | 8% |
| Neuroscience | 6 | 5% |
| Other | 19 | 15% |
| Unknown | 28 | 22% |
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 12 November 2019.
All research outputs
#14,016,325
of 24,777,509 outputs
Outputs from Diagnostic Pathology
#316
of 1,172 outputs
Outputs of similar age
#103,665
of 202,391 outputs
Outputs of similar age from Diagnostic Pathology
#3
of 29 outputs
Altmetric has tracked 24,777,509 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,172 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 72% 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 202,391 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.