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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational Pathology
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, August 2019
|
| DOI | 10.3389/fbioe.2019.00198 |
| Pubmed ID | |
| Authors |
Sebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, Amjad Khan, Henning Müller |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 16% |
| Student > Master | 12 | 15% |
| Student > Ph. D. Student | 8 | 10% |
| Student > Doctoral Student | 7 | 9% |
| Student > Bachelor | 5 | 6% |
| Other | 10 | 13% |
| Unknown | 24 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 25% |
| Medicine and Dentistry | 11 | 14% |
| Engineering | 11 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 29 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 May 2021.
All research outputs
#2,934,241
of 23,154,520 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#381
of 6,840 outputs
Outputs of similar age
#61,510
of 341,412 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#7
of 84 outputs
Altmetric has tracked 23,154,520 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,840 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 94% 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 341,412 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 81% of its contemporaries.
We're also able to compare this research output to 84 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 90% of its contemporaries.