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 |
Clinical prediction models for diagnosis of COVID-19 among adult patients: a validation and agreement study
|
|---|---|
| Published in |
BMC Infectious Diseases, May 2022
|
| DOI | 10.1186/s12879-022-07420-4 |
| Pubmed ID | |
| Authors |
Nadia Dardenne, Médéa Locquet, Anh Nguyet Diep, Allison Gilbert, Sophie Delrez, Charlotte Beaudart, Christian Brabant, Alexandre Ghuysen, Anne-Françoise Donneau, Olivier Bruyère |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 12% |
| Researcher | 3 | 12% |
| Student > Ph. D. Student | 1 | 4% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 16 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 3 | 12% |
| Medicine and Dentistry | 3 | 12% |
| Mathematics | 1 | 4% |
| Psychology | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 15 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 June 2022.
All research outputs
#17,490,548
of 25,656,290 outputs
Outputs from BMC Infectious Diseases
#5,184
of 8,669 outputs
Outputs of similar age
#267,518
of 446,825 outputs
Outputs of similar age from BMC Infectious Diseases
#128
of 198 outputs
Altmetric has tracked 25,656,290 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,669 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 31st percentile – i.e., 31% 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 446,825 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 198 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.