| Title |
Positive Predictive Value of COVID-19 ICD-10 Diagnosis Codes Across Calendar Time and Clinical Setting
|
|---|---|
| Published in |
Clinical Epidemiology, October 2021
|
| DOI | 10.2147/clep.s335621 |
| Pubmed ID | |
| Authors |
Kristine E Lynch, Benjamin Viernes, Elise Gatsby, Scott L DuVall, Barbara E Jones, Tamára L Box, Craig Kreisler, Makoto Jones |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 50% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Unspecified | 1 | 5% |
| Lecturer | 1 | 5% |
| Student > Ph. D. Student | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 12 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 18% |
| Nursing and Health Professions | 2 | 9% |
| Computer Science | 2 | 9% |
| Unspecified | 1 | 5% |
| Unknown | 13 | 59% |
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 03 October 2022.
All research outputs
#5,988,718
of 23,917,011 outputs
Outputs from Clinical Epidemiology
#221
of 753 outputs
Outputs of similar age
#116,292
of 436,307 outputs
Outputs of similar age from Clinical Epidemiology
#6
of 15 outputs
Altmetric has tracked 23,917,011 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 753 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has gotten more attention than average, scoring higher than 70% 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 436,307 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 73% of its contemporaries.
We're also able to compare this research output to 15 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 66% of its contemporaries.