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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
How to learn with intentional mistakes: NoisyEnsembles to overcome poor tissue quality for deep learning in computational pathology
|
---|---|
Published in |
Frontiers in Medicine, August 2022
|
DOI | 10.3389/fmed.2022.959068 |
Pubmed ID | |
Authors |
Robin S. Mayer, Steffen Gretser, Lara E. Heckmann, Paul K. Ziegler, Britta Walter, Henning Reis, Katrin Bankov, Sven Becker, Jochen Triesch, Peter J. Wild, Nadine Flinner |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 33% |
United States | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Members of the public | 1 | 33% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 3 | 25% |
Unspecified | 1 | 8% |
Student > Ph. D. Student | 1 | 8% |
Researcher | 1 | 8% |
Unknown | 6 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 2 | 17% |
Unspecified | 1 | 8% |
Materials Science | 1 | 8% |
Engineering | 1 | 8% |
Unknown | 7 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 17 March 2023.
All research outputs
#15,019,633
of 23,870,022 outputs
Outputs from Frontiers in Medicine
#2,760
of 6,295 outputs
Outputs of similar age
#205,217
of 416,769 outputs
Outputs of similar age from Frontiers in Medicine
#207
of 503 outputs
Altmetric has tracked 23,870,022 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,295 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has gotten more attention than average, scoring higher than 51% 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 416,769 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 503 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.