| Title |
Existing Data Sources in Clinical Epidemiology: The Danish COVID-19 Cohort
|
|---|---|
| Published in |
Clinical Epidemiology, August 2020
|
| DOI | 10.2147/clep.s257519 |
| Pubmed ID | |
| Authors |
Anton Pottegård, Kasper Bruun Kristensen, Mette Reilev, Lars Christian Lund, Martin Thomsen Ernst, Jesper Hallas, Reimar Wernich Thomsen, Christian Fynbo Christiansen, Henrik Toft Sørensen, Nanna Borup Johansen, Henrik Støvring, Steffen Christensen, Marianne Kragh Thomsen, Anders Husby, Marianne Voldstedlund, Jesper Kjær, Nikolai C Brun |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 20% |
| Denmark | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Scientists | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 13% |
| Student > Ph. D. Student | 11 | 11% |
| Student > Bachelor | 10 | 10% |
| Researcher | 10 | 10% |
| Other | 8 | 8% |
| Other | 13 | 13% |
| Unknown | 37 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 27% |
| Nursing and Health Professions | 8 | 8% |
| Social Sciences | 5 | 5% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 4% |
| Other | 13 | 13% |
| Unknown | 40 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 14 July 2023.
All research outputs
#5,342,712
of 25,584,565 outputs
Outputs from Clinical Epidemiology
#218
of 780 outputs
Outputs of similar age
#124,175
of 427,846 outputs
Outputs of similar age from Clinical Epidemiology
#5
of 21 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 780 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has gotten more attention than average, scoring higher than 72% 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 427,846 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 70% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.