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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Postoperative delirium prediction using machine learning models and preoperative electronic health record data
|
|---|---|
| Published in |
BMC Anesthesiology, January 2022
|
| DOI | 10.1186/s12871-021-01543-y |
| Pubmed ID | |
| Authors |
Andrew Bishara, Catherine Chiu, Elizabeth L. Whitlock, Vanja C. Douglas, Sei Lee, Atul J. Butte, Jacqueline M. Leung, Anne L. Donovan |
X Demographics
The data shown below were collected from the profiles of 14 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 | 7 | 50% |
| Switzerland | 1 | 7% |
| Canada | 1 | 7% |
| Ukraine | 1 | 7% |
| Belgium | 1 | 7% |
| Unknown | 3 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 71% |
| Scientists | 3 | 21% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 9% |
| Student > Ph. D. Student | 5 | 6% |
| Student > Bachelor | 4 | 5% |
| Student > Master | 4 | 5% |
| Professor | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 50 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 13% |
| Nursing and Health Professions | 8 | 10% |
| Business, Management and Accounting | 2 | 3% |
| Computer Science | 2 | 3% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 52 | 66% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 10 March 2022.
All research outputs
#4,857,989
of 23,864,146 outputs
Outputs from BMC Anesthesiology
#181
of 1,574 outputs
Outputs of similar age
#118,003
of 516,418 outputs
Outputs of similar age from BMC Anesthesiology
#7
of 44 outputs
Altmetric has tracked 23,864,146 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,574 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 88% 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 516,418 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.