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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Construction of a demand and capacity model for intensive care and hospital ward beds, and mortality from COVID-19
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, April 2021
|
| DOI | 10.1186/s12911-021-01504-y |
| Pubmed ID | |
| Authors |
Christopher Martin, Stuart McDonald, Steve Bale, Michiel Luteijn, Rahul Sarkar |
X Demographics
The data shown below were collected from the profiles of 6 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 | 3 | 50% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 14% |
| Researcher | 5 | 10% |
| Other | 5 | 10% |
| Student > Master | 4 | 8% |
| Student > Postgraduate | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 20 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 20% |
| Nursing and Health Professions | 10 | 20% |
| Environmental Science | 2 | 4% |
| Social Sciences | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 20 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 04 July 2021.
All research outputs
#6,302,643
of 25,208,845 outputs
Outputs from BMC Medical Informatics and Decision Making
#527
of 2,133 outputs
Outputs of similar age
#126,276
of 434,048 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#16
of 58 outputs
Altmetric has tracked 25,208,845 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,133 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 75% 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 434,048 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 70% of its contemporaries.
We're also able to compare this research output to 58 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 74% of its contemporaries.