| Title |
Reply to: Transparency and reproducibility in artificial intelligence
|
|---|---|
| Published in |
Nature, October 2020
|
| DOI | 10.1038/s41586-020-2767-x |
| Pubmed ID | |
| Authors |
Scott Mayer McKinney, Alan Karthikesalingam, Daniel Tse, Christopher J. Kelly, Yun Liu, Greg S. Corrado, Shravya Shetty |
X Demographics
The data shown below were collected from the profiles of 26 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 | 35% |
| Spain | 2 | 8% |
| Angola | 1 | 4% |
| United Kingdom | 1 | 4% |
| Sweden | 1 | 4% |
| Germany | 1 | 4% |
| Canada | 1 | 4% |
| Bangladesh | 1 | 4% |
| Unknown | 9 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 42% |
| Members of the public | 10 | 38% |
| Science communicators (journalists, bloggers, editors) | 3 | 12% |
| Practitioners (doctors, other healthcare professionals) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 14% |
| Librarian | 4 | 10% |
| Lecturer | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Student > Ph. D. Student | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 22 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 12% |
| Computer Science | 5 | 12% |
| Social Sciences | 3 | 7% |
| Economics, Econometrics and Finance | 1 | 2% |
| Arts and Humanities | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 22 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 59. 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 11 March 2021.
All research outputs
#732,646
of 25,750,437 outputs
Outputs from Nature
#27,591
of 98,661 outputs
Outputs of similar age
#20,470
of 437,639 outputs
Outputs of similar age from Nature
#555
of 859 outputs
Altmetric has tracked 25,750,437 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 98,661 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.6. This one has gotten more attention than average, scoring higher than 72% 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 437,639 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 859 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.