| Title |
Statistical Analysis of Clinical COVID-19 Data: A Concise Overview of Lessons Learned, Common Errors and How to Avoid Them
|
|---|---|
| Published in |
Clinical Epidemiology, September 2020
|
| DOI | 10.2147/clep.s256735 |
| Pubmed ID | |
| Authors |
Martin Wolkewitz, Jerome Lambert, Maja von Cube, Lars Bugiera, Marlon Grodd, Derek Hazard, Nicole White, Adrian Barnett, Klaus Kaier |
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% |
| Italy | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 18% |
| Other | 6 | 10% |
| Student > Ph. D. Student | 6 | 10% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 5 | 8% |
| Other | 10 | 16% |
| Unknown | 18 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 31% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 7% |
| Mathematics | 3 | 5% |
| Nursing and Health Professions | 3 | 5% |
| Agricultural and Biological Sciences | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 22 | 36% |
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 09 June 2021.
All research outputs
#14,170,716
of 24,397,600 outputs
Outputs from Clinical Epidemiology
#379
of 768 outputs
Outputs of similar age
#196,957
of 403,891 outputs
Outputs of similar age from Clinical Epidemiology
#15
of 24 outputs
Altmetric has tracked 24,397,600 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 768 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 49th percentile – i.e., 49% 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 403,891 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 50% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.