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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Strategies to Reduce the Expert Supervision Required for Deep Learning-Based Segmentation of Histopathological Images
|
|---|---|
| Published in |
Frontiers in Medicine, October 2019
|
| DOI | 10.3389/fmed.2019.00222 |
| Pubmed ID | |
| Authors |
Yves-Rémi Van Eycke, Adrien Foucart, Christine Decaestecker |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 16% |
| Student > Master | 8 | 14% |
| Student > Doctoral Student | 6 | 11% |
| Student > Ph. D. Student | 6 | 11% |
| Lecturer > Senior Lecturer | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 20 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 21% |
| Medicine and Dentistry | 6 | 11% |
| Engineering | 4 | 7% |
| Agricultural and Biological Sciences | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 26 | 46% |
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 18 May 2020.
All research outputs
#3,759,078
of 23,577,761 outputs
Outputs from Frontiers in Medicine
#942
of 6,085 outputs
Outputs of similar age
#75,039
of 355,821 outputs
Outputs of similar age from Frontiers in Medicine
#21
of 83 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,085 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has done well, scoring higher than 84% 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 355,821 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 78% of its contemporaries.
We're also able to compare this research output to 83 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 74% of its contemporaries.