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X Demographics
Mendeley readers
Attention Score in Context
Title |
Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models
|
---|---|
Published in |
Nature Biomedical Engineering, March 2024
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DOI | 10.1038/s41551-024-01193-8 |
Pubmed ID | |
Authors |
Francisco Carrillo-Perez, Marija Pizurica, Yuanning Zheng, Tarak Nath Nandi, Ravi Madduri, Jeanne Shen, Olivier Gevaert |
X Demographics
The data shown below were collected from the profiles of 70 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 | 20 | 29% |
India | 4 | 6% |
Spain | 3 | 4% |
United Kingdom | 3 | 4% |
Belgium | 2 | 3% |
Canada | 2 | 3% |
Switzerland | 2 | 3% |
Australia | 2 | 3% |
Japan | 2 | 3% |
Other | 7 | 10% |
Unknown | 23 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 41 | 59% |
Scientists | 23 | 33% |
Practitioners (doctors, other healthcare professionals) | 6 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 27% |
Professor > Associate Professor | 2 | 13% |
Professor | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Student > Master | 1 | 7% |
Other | 0 | 0% |
Unknown | 6 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 13% |
Computer Science | 2 | 13% |
Engineering | 2 | 13% |
Physics and Astronomy | 1 | 7% |
Immunology and Microbiology | 1 | 7% |
Other | 0 | 0% |
Unknown | 7 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 04 May 2024.
All research outputs
#1,018,712
of 25,872,466 outputs
Outputs from Nature Biomedical Engineering
#499
of 1,162 outputs
Outputs of similar age
#14,593
of 322,492 outputs
Outputs of similar age from Nature Biomedical Engineering
#10
of 30 outputs
Altmetric has tracked 25,872,466 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,162 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 78.6. This one has gotten more attention than average, scoring higher than 57% 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 322,492 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 30 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 66% of its contemporaries.