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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep learning in cancer diagnosis, prognosis and treatment selection
|
|---|---|
| Published in |
Genome Medicine, September 2021
|
| DOI | 10.1186/s13073-021-00968-x |
| Pubmed ID | |
| Authors |
Khoa A. Tran, Olga Kondrashova, Andrew Bradley, Elizabeth D. Williams, John V. Pearson, Nicola Waddell |
X Demographics
The data shown below were collected from the profiles of 48 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 | 10 | 21% |
| Australia | 8 | 17% |
| United Kingdom | 3 | 6% |
| Nigeria | 2 | 4% |
| Mexico | 1 | 2% |
| Austria | 1 | 2% |
| Colombia | 1 | 2% |
| India | 1 | 2% |
| Spain | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 19 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 58% |
| Scientists | 14 | 29% |
| Science communicators (journalists, bloggers, editors) | 4 | 8% |
| Practitioners (doctors, other healthcare professionals) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 395 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 395 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 10% |
| Student > Master | 32 | 8% |
| Researcher | 29 | 7% |
| Student > Bachelor | 29 | 7% |
| Student > Doctoral Student | 13 | 3% |
| Other | 44 | 11% |
| Unknown | 208 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 42 | 11% |
| Biochemistry, Genetics and Molecular Biology | 37 | 9% |
| Medicine and Dentistry | 26 | 7% |
| Engineering | 20 | 5% |
| Agricultural and Biological Sciences | 14 | 4% |
| Other | 40 | 10% |
| Unknown | 216 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 19 January 2024.
All research outputs
#1,206,973
of 25,714,183 outputs
Outputs from Genome Medicine
#237
of 1,608 outputs
Outputs of similar age
#27,990
of 437,659 outputs
Outputs of similar age from Genome Medicine
#9
of 52 outputs
Altmetric has tracked 25,714,183 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,608 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has done well, scoring higher than 85% 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 437,659 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 93% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.