You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Can we predict early 7-day readmissions using a standard 30-day hospital readmission risk prediction model?
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2020
|
| DOI | 10.1186/s12911-020-01248-1 |
| Pubmed ID | |
| Authors |
Sameh N. Saleh, Anil N. Makam, Ethan A. Halm, Oanh Kieu Nguyen |
X Demographics
The data shown below were collected from the profiles of 5 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 | 4 | 80% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 11% |
| Student > Master | 2 | 11% |
| Student > Postgraduate | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Lecturer | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 7 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 16% |
| Medicine and Dentistry | 3 | 16% |
| Computer Science | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 9 | 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 17 September 2020.
All research outputs
#7,004,037
of 23,237,082 outputs
Outputs from BMC Medical Informatics and Decision Making
#687
of 2,022 outputs
Outputs of similar age
#149,289
of 402,858 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#20
of 54 outputs
Altmetric has tracked 23,237,082 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 2,022 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 65% 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 402,858 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 62% of its contemporaries.
We're also able to compare this research output to 54 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 62% of its contemporaries.