| Title |
A call for deep-learning healthcare
|
|---|---|
| Published in |
Nature Medicine, January 2019
|
| DOI | 10.1038/s41591-018-0320-3 |
| Pubmed ID | |
| Authors |
Beau Norgeot, Benjamin S. Glicksberg, Atul J. Butte |
X Demographics
The data shown below were collected from the profiles of 327 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 | 144 | 44% |
| United Kingdom | 18 | 6% |
| Spain | 15 | 5% |
| Canada | 8 | 2% |
| India | 5 | 2% |
| Saudi Arabia | 5 | 2% |
| France | 5 | 2% |
| Germany | 4 | 1% |
| Australia | 4 | 1% |
| Other | 27 | 8% |
| Unknown | 92 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 185 | 57% |
| Scientists | 95 | 29% |
| Practitioners (doctors, other healthcare professionals) | 32 | 10% |
| Science communicators (journalists, bloggers, editors) | 14 | 4% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 264 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 264 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 18% |
| Researcher | 41 | 16% |
| Student > Master | 26 | 10% |
| Professor > Associate Professor | 15 | 6% |
| Professor | 14 | 5% |
| Other | 47 | 18% |
| Unknown | 74 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 43 | 16% |
| Medicine and Dentistry | 40 | 15% |
| Agricultural and Biological Sciences | 18 | 7% |
| Engineering | 17 | 6% |
| Biochemistry, Genetics and Molecular Biology | 15 | 6% |
| Other | 37 | 14% |
| Unknown | 94 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 190. 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 24 July 2023.
All research outputs
#214,032
of 25,765,370 outputs
Outputs from Nature Medicine
#868
of 9,428 outputs
Outputs of similar age
#4,531
of 447,892 outputs
Outputs of similar age from Nature Medicine
#26
of 114 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,428 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 105.1. This one has done particularly well, scoring higher than 90% 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 447,892 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 98% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.