↓ Skip to main content

Dove Medical Press

Positive Predictive Value of ICD-10 Diagnosis Codes for COVID-19

Overview of attention for article published in Clinical Epidemiology, May 2021
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
35 Mendeley
Title
Positive Predictive Value of ICD-10 Diagnosis Codes for COVID-19
Published in
Clinical Epidemiology, May 2021
DOI 10.2147/clep.s309840
Pubmed ID
Authors

Jacob Bodilsen, Steffen Leth, Stig Lønberg Nielsen, Jon Gitz Holler, Thomas Benfield, Lars Haukali Omland

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 14%
Student > Ph. D. Student 5 14%
Other 2 6%
Student > Bachelor 2 6%
Student > Postgraduate 2 6%
Other 5 14%
Unknown 14 40%
Readers by discipline Count As %
Medicine and Dentistry 12 34%
Unspecified 2 6%
Nursing and Health Professions 2 6%
Mathematics 1 3%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 16 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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
#7,887,381
of 23,917,011 outputs
Outputs from Clinical Epidemiology
#307
of 753 outputs
Outputs of similar age
#168,069
of 440,495 outputs
Outputs of similar age from Clinical Epidemiology
#5
of 16 outputs
Altmetric has tracked 23,917,011 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
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 54% 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 440,495 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 58% of its contemporaries.
We're also able to compare this research output to 16 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 68% of its contemporaries.