| Title |
Methodological challenges of analysing COVID-19 data during the pandemic
|
|---|---|
| Published in |
BMC Medical Research Methodology, April 2020
|
| DOI | 10.1186/s12874-020-00972-6 |
| Pubmed ID | |
| Authors |
Martin Wolkewitz, Livia Puljak |
X Demographics
The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 10 | 33% |
| United States | 2 | 7% |
| El Salvador | 1 | 3% |
| Egypt | 1 | 3% |
| Spain | 1 | 3% |
| Peru | 1 | 3% |
| Uganda | 1 | 3% |
| Japan | 1 | 3% |
| Ireland | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 57% |
| Scientists | 7 | 23% |
| Practitioners (doctors, other healthcare professionals) | 6 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 218 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 14% |
| Student > Master | 27 | 12% |
| Student > Ph. D. Student | 18 | 8% |
| Student > Bachelor | 17 | 8% |
| Other | 11 | 5% |
| Other | 47 | 22% |
| Unknown | 68 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 39 | 18% |
| Computer Science | 11 | 5% |
| Biochemistry, Genetics and Molecular Biology | 10 | 5% |
| Nursing and Health Professions | 10 | 5% |
| Social Sciences | 10 | 5% |
| Other | 59 | 27% |
| Unknown | 79 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 19 April 2021.
All research outputs
#1,330,742
of 24,892,887 outputs
Outputs from BMC Medical Research Methodology
#150
of 2,219 outputs
Outputs of similar age
#33,587
of 378,243 outputs
Outputs of similar age from BMC Medical Research Methodology
#6
of 69 outputs
Altmetric has tracked 24,892,887 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,219 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. 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 378,243 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 91% of its contemporaries.
We're also able to compare this research output to 69 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.