| Title |
A Multifaceted benchmarking of synthetic electronic health record generation models
|
|---|---|
| Published in |
Nature Communications, December 2022
|
| DOI | 10.1038/s41467-022-35295-1 |
| Pubmed ID | |
| Authors |
Chao Yan, Yao Yan, Zhiyu Wan, Ziqi Zhang, Larsson Omberg, Justin Guinney, Sean D. Mooney, Bradley A. Malin |
X Demographics
The data shown below were collected from the profiles of 33 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 | 27% |
| Australia | 2 | 6% |
| Japan | 1 | 3% |
| France | 1 | 3% |
| Korea, Republic of | 1 | 3% |
| Sweden | 1 | 3% |
| United Kingdom | 1 | 3% |
| Unknown | 17 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 48% |
| Scientists | 15 | 45% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 15% |
| Student > Master | 6 | 13% |
| Researcher | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Student > Bachelor | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 26 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 13% |
| Engineering | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Agricultural and Biological Sciences | 2 | 4% |
| Decision Sciences | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 26 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 21 February 2024.
All research outputs
#1,914,566
of 25,389,520 outputs
Outputs from Nature Communications
#25,284
of 56,582 outputs
Outputs of similar age
#40,487
of 488,543 outputs
Outputs of similar age from Nature Communications
#837
of 1,898 outputs
Altmetric has tracked 25,389,520 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 56,582 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.7. This one has gotten more attention than average, scoring higher than 55% 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 488,543 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 91% of its contemporaries.
We're also able to compare this research output to 1,898 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 55% of its contemporaries.