| Title |
Direct-to-consumer medical machine learning and artificial intelligence applications
|
|---|---|
| Published in |
Nature Machine Intelligence, April 2021
|
| DOI | 10.1038/s42256-021-00331-0 |
| Authors |
Boris Babic, Sara Gerke, Theodoros Evgeniou, I. Glenn Cohen |
X Demographics
The data shown below were collected from the profiles of 79 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 | 21 | 27% |
| Switzerland | 4 | 5% |
| Italy | 3 | 4% |
| India | 3 | 4% |
| Australia | 3 | 4% |
| Hong Kong | 2 | 3% |
| United Kingdom | 2 | 3% |
| Germany | 2 | 3% |
| Mexico | 2 | 3% |
| Other | 9 | 11% |
| Unknown | 28 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 49 | 62% |
| Scientists | 20 | 25% |
| Practitioners (doctors, other healthcare professionals) | 8 | 10% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 13% |
| Student > Ph. D. Student | 11 | 12% |
| Student > Doctoral Student | 7 | 7% |
| Student > Master | 5 | 5% |
| Unspecified | 4 | 4% |
| Other | 17 | 18% |
| Unknown | 38 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 10% |
| Medicine and Dentistry | 8 | 9% |
| Business, Management and Accounting | 7 | 7% |
| Engineering | 7 | 7% |
| Agricultural and Biological Sciences | 6 | 6% |
| Other | 20 | 21% |
| Unknown | 37 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 61. 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 01 June 2023.
All research outputs
#704,504
of 25,466,764 outputs
Outputs from Nature Machine Intelligence
#201
of 757 outputs
Outputs of similar age
#19,843
of 453,040 outputs
Outputs of similar age from Nature Machine Intelligence
#15
of 46 outputs
Altmetric has tracked 25,466,764 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 757 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.2. This one has gotten more attention than average, scoring higher than 73% 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 453,040 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 46 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 69% of its contemporaries.