| Title |
COVID-19 prevalence estimation by random sampling in population - optimal sample pooling under varying assumptions about true prevalence
|
|---|---|
| Published in |
BMC Medical Research Methodology, July 2020
|
| DOI | 10.1186/s12874-020-01081-0 |
| Pubmed ID | |
| Authors |
Ola Brynildsrud |
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 % |
|---|---|---|
| Norway | 1 | 33% |
| Comoros | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 19% |
| Student > Bachelor | 10 | 12% |
| Student > Master | 9 | 11% |
| Other | 8 | 10% |
| Student > Ph. D. Student | 6 | 7% |
| Other | 16 | 19% |
| Unknown | 19 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 31% |
| Nursing and Health Professions | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 5 | 6% |
| Computer Science | 3 | 4% |
| Immunology and Microbiology | 3 | 4% |
| Other | 19 | 23% |
| Unknown | 23 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 47. 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 12 May 2022.
All research outputs
#772,495
of 23,228,787 outputs
Outputs from BMC Medical Research Methodology
#66
of 2,056 outputs
Outputs of similar age
#23,953
of 399,675 outputs
Outputs of similar age from BMC Medical Research Methodology
#3
of 62 outputs
Altmetric has tracked 23,228,787 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done particularly well, scoring higher than 96% 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 399,675 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 62 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 95% of its contemporaries.