The data shown below were collected from the profiles of 63 X users who shared this research output. Click here to find out more about how the information was compiled.
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| Title |
Positive Predictive Value of the ICD-10 Diagnosis Code for Long-COVID
|
|---|---|
| Published in |
Clinical Epidemiology, February 2022
|
| DOI | 10.2147/clep.s344515 |
| Pubmed ID | |
| Authors |
Lærke Storgaard Duerlund, Shakil Shakar, Henrik Nielsen, Jacob Bodilsen |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 9 | 14% |
| Denmark | 5 | 8% |
| United States | 5 | 8% |
| United Kingdom | 5 | 8% |
| Sweden | 2 | 3% |
| Canada | 1 | 2% |
| France | 1 | 2% |
| Curaçao | 1 | 2% |
| Netherlands | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 31 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 54 | 86% |
| Scientists | 5 | 8% |
| Practitioners (doctors, other healthcare professionals) | 4 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 11% |
| Librarian | 2 | 5% |
| Student > Postgraduate | 2 | 5% |
| Other | 1 | 3% |
| Student > Ph. D. Student | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 24 | 65% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 19% |
| Nursing and Health Professions | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Computer Science | 1 | 3% |
| Unknown | 27 | 73% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 26 March 2022.
All research outputs
#1,226,830
of 26,233,985 outputs
Outputs from Clinical Epidemiology
#51
of 807 outputs
Outputs of similar age
#30,642
of 535,580 outputs
Outputs of similar age from Clinical Epidemiology
#2
of 28 outputs
Altmetric has tracked 26,233,985 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 807 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done particularly well, scoring higher than 93% 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 535,580 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 94% of its contemporaries.
We're also able to compare this research output to 28 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 92% of its contemporaries.