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X Demographics
Mendeley readers
Attention Score in Context
| Title |
How good is our diagnostic intuition? Clinician prediction of bacteremia in critically ill children
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2020
|
| DOI | 10.1186/s12911-020-01165-3 |
| Pubmed ID | |
| Authors |
Katherine E. M. Hoops, James C. Fackler, Anne King, Elizabeth Colantuoni, Aaron M. Milstone, Charlotte Woods-Hill |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 15% |
| Student > Master | 3 | 11% |
| Student > Postgraduate | 2 | 7% |
| Researcher | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 4 | 15% |
| Unknown | 10 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 22% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 11% |
| Nursing and Health Professions | 3 | 11% |
| Computer Science | 1 | 4% |
| Philosophy | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 11 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 18 December 2023.
All research outputs
#1,440,978
of 25,014,758 outputs
Outputs from BMC Medical Informatics and Decision Making
#61
of 2,122 outputs
Outputs of similar age
#39,146
of 404,419 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 56 outputs
Altmetric has tracked 25,014,758 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,122 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 particularly well, scoring higher than 97% 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 404,419 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 90% of its contemporaries.
We're also able to compare this research output to 56 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 99% of its contemporaries.