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X Demographics
Mendeley readers
Attention Score in Context
Title |
A machine-learning model to predict postoperative delirium following knee arthroplasty using electronic health records
|
---|---|
Published in |
BMC Psychiatry, June 2022
|
DOI | 10.1186/s12888-022-04067-y |
Pubmed ID | |
Authors |
Jong Wook Jung, Sunghyun Hwang, Sunho Ko, Changwung Jo, Hye Youn Park, Hyuk-Soo Han, Myung Chul Lee, Jee Eun Park, Du Hyun Ro |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 25% |
United Kingdom | 1 | 25% |
Colombia | 1 | 25% |
United States | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 14% |
Student > Ph. D. Student | 3 | 8% |
Lecturer | 2 | 6% |
Researcher | 2 | 6% |
Student > Postgraduate | 2 | 6% |
Other | 0 | 0% |
Unknown | 22 | 61% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 17% |
Psychology | 3 | 8% |
Computer Science | 2 | 6% |
Business, Management and Accounting | 2 | 6% |
Engineering | 2 | 6% |
Other | 0 | 0% |
Unknown | 21 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 August 2022.
All research outputs
#13,952,760
of 23,885,338 outputs
Outputs from BMC Psychiatry
#2,976
of 4,997 outputs
Outputs of similar age
#179,408
of 427,264 outputs
Outputs of similar age from BMC Psychiatry
#59
of 130 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,997 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 427,264 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 56% of its contemporaries.
We're also able to compare this research output to 130 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 53% of its contemporaries.