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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning based forecast for the prediction of inpatient bed demand
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, March 2022
|
| DOI | 10.1186/s12911-022-01787-9 |
| Pubmed ID | |
| Authors |
Manuel Tello, Eric S. Reich, Jason Puckey, Rebecca Maff, Andres Garcia-Arce, Biplab Sudhin Bhattacharya, Felipe Feijoo |
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 | 3 | 60% |
| Saudi Arabia | 1 | 20% |
| 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 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 % |
|---|---|---|
| Student > Master | 5 | 6% |
| Student > Ph. D. Student | 5 | 6% |
| Unspecified | 4 | 5% |
| Student > Bachelor | 4 | 5% |
| Student > Postgraduate | 4 | 5% |
| Other | 15 | 19% |
| Unknown | 42 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 9% |
| Engineering | 6 | 8% |
| Nursing and Health Professions | 4 | 5% |
| Computer Science | 4 | 5% |
| Unspecified | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 43 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 30 May 2023.
All research outputs
#6,904,420
of 24,527,858 outputs
Outputs from BMC Medical Informatics and Decision Making
#630
of 2,087 outputs
Outputs of similar age
#136,284
of 433,853 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#12
of 53 outputs
Altmetric has tracked 24,527,858 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,087 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 69% 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 433,853 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 68% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.