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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and validation of a multivariable prediction model for infection-related complications in patients with common infections in UK primary care and the extent of risk-based prescribing of antibiotics
|
|---|---|
| Published in |
BMC Medicine, May 2020
|
| DOI | 10.1186/s12916-020-01581-2 |
| Pubmed ID | |
| Authors |
Chirag Mistry, Victoria Palin, Yan Li, Glen P. Martin, David Jenkins, William Welfare, Darren M. Ashcroft, Tjeerd van Staa |
X Demographics
The data shown below were collected from the profiles of 12 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 | 9 | 75% |
| France | 1 | 8% |
| Unknown | 2 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 83% |
| Practitioners (doctors, other healthcare professionals) | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 19% |
| Student > Ph. D. Student | 11 | 18% |
| Researcher | 7 | 11% |
| Student > Bachelor | 6 | 10% |
| Other | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 18 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 23% |
| Nursing and Health Professions | 8 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Immunology and Microbiology | 2 | 3% |
| Psychology | 2 | 3% |
| Other | 12 | 19% |
| Unknown | 22 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 23 May 2020.
All research outputs
#4,055,156
of 23,208,901 outputs
Outputs from BMC Medicine
#2,041
of 3,494 outputs
Outputs of similar age
#97,373
of 390,264 outputs
Outputs of similar age from BMC Medicine
#64
of 103 outputs
Altmetric has tracked 23,208,901 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,494 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one is in the 41st percentile – i.e., 41% 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 390,264 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.