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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning–Based Histopathologic Assessment of Kidney Tissue
|
|---|---|
| Published in |
Journal of the American Society of Nephrology, September 2019
|
| DOI | 10.1681/asn.2019020144 |
| Pubmed ID | |
| Authors |
Meyke Hermsen, Thomas de Bel, Marjolijn den Boer, Eric J Steenbergen, Jesper Kers, Sandrine Florquin, Joris J T H Roelofs, Mark D Stegall, Mariam P Alexander, Byron H Smith, Bart Smeets, Luuk B Hilbrands, Jeroen A W M van der Laak |
X Demographics
The data shown below were collected from the profiles of 49 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 | 9 | 18% |
| France | 4 | 8% |
| Spain | 4 | 8% |
| Netherlands | 3 | 6% |
| Ireland | 2 | 4% |
| Italy | 2 | 4% |
| Australia | 1 | 2% |
| Bolivia, Plurinational State of | 1 | 2% |
| Canada | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 19 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 59% |
| Scientists | 13 | 27% |
| Practitioners (doctors, other healthcare professionals) | 4 | 8% |
| Science communicators (journalists, bloggers, editors) | 3 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 223 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 223 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 15% |
| Student > Ph. D. Student | 28 | 13% |
| Student > Master | 19 | 9% |
| Student > Doctoral Student | 19 | 9% |
| Other | 15 | 7% |
| Other | 42 | 19% |
| Unknown | 67 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 58 | 26% |
| Computer Science | 25 | 11% |
| Biochemistry, Genetics and Molecular Biology | 17 | 8% |
| Engineering | 13 | 6% |
| Immunology and Microbiology | 6 | 3% |
| Other | 24 | 11% |
| Unknown | 80 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 80. 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 25 July 2022.
All research outputs
#497,468
of 24,137,933 outputs
Outputs from Journal of the American Society of Nephrology
#218
of 5,548 outputs
Outputs of similar age
#11,006
of 344,249 outputs
Outputs of similar age from Journal of the American Society of Nephrology
#8
of 59 outputs
Altmetric has tracked 24,137,933 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,548 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.9. This one has done particularly well, scoring higher than 96% 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 344,249 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 96% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.