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 |
Hospital length of stay for COVID-19 patients: Data-driven methods for forward planning
|
|---|---|
| Published in |
BMC Infectious Diseases, July 2021
|
| DOI | 10.1186/s12879-021-06371-6 |
| Pubmed ID | |
| Authors |
Bindu Vekaria, Christopher Overton, Arkadiusz Wiśniowski, Shazaad Ahmad, Andrea Aparicio-Castro, Jacob Curran-Sebastian, Jane Eddleston, Neil A Hanley, Thomas House, Jihye Kim, Wendy Olsen, Maria Pampaka, Lorenzo Pellis, Diego Perez Ruiz, John Schofield, Nick Shryane, Mark J. Elliot |
X Demographics
The data shown below were collected from the profiles of 125 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 Kingdom | 22 | 18% |
| United States | 12 | 10% |
| Canada | 7 | 6% |
| Australia | 5 | 4% |
| Brazil | 1 | <1% |
| Latvia | 1 | <1% |
| Switzerland | 1 | <1% |
| Netherlands | 1 | <1% |
| China | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 71 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 106 | 85% |
| Scientists | 11 | 9% |
| Practitioners (doctors, other healthcare professionals) | 7 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 187 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 30 | 16% |
| Student > Bachelor | 17 | 9% |
| Researcher | 16 | 9% |
| Student > Ph. D. Student | 12 | 6% |
| Student > Postgraduate | 9 | 5% |
| Other | 19 | 10% |
| Unknown | 84 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 37 | 20% |
| Nursing and Health Professions | 13 | 7% |
| Engineering | 9 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 4% |
| Computer Science | 7 | 4% |
| Other | 30 | 16% |
| Unknown | 84 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 160. 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 24 July 2023.
All research outputs
#261,000
of 25,760,414 outputs
Outputs from BMC Infectious Diseases
#69
of 8,698 outputs
Outputs of similar age
#7,160
of 447,392 outputs
Outputs of similar age from BMC Infectious Diseases
#7
of 235 outputs
Altmetric has tracked 25,760,414 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,698 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 99% 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 447,392 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 98% of its contemporaries.
We're also able to compare this research output to 235 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.