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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Virtual Trials: Causally-validated treatment effects efficiently learned from an observational cancer registry
|
|---|---|
| Published in |
Artificial Intelligence in Medicine, November 2022
|
| DOI | 10.1016/j.artmed.2022.102450 |
| Pubmed ID | |
| Authors |
Asher Wasserman, Al Musella, Mark Shapiro, Jeff Shrager |
X Demographics
The data shown below were collected from the profiles of 6 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 | 5 | 83% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 13% |
| Student > Master | 2 | 13% |
| Professor | 2 | 13% |
| Other | 1 | 7% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 6 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 13% |
| Medicine and Dentistry | 2 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Arts and Humanities | 1 | 7% |
| Business, Management and Accounting | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 7 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 September 2023.
All research outputs
#7,696,816
of 25,392,582 outputs
Outputs from Artificial Intelligence in Medicine
#249
of 914 outputs
Outputs of similar age
#144,737
of 488,146 outputs
Outputs of similar age from Artificial Intelligence in Medicine
#4
of 25 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 914 research outputs from this source. They receive a mean Attention Score of 4.8. 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 488,146 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.