| Title |
COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic
|
|---|---|
| Published in |
BMC Medical Research Methodology, September 2020
|
| DOI | 10.1186/s12874-020-01121-9 |
| Pubmed ID | |
| Authors |
Cristian Tebé, Joan Valls, Pau Satorra, Aurelio Tobías |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 9 | 39% |
| United Kingdom | 1 | 4% |
| United States | 1 | 4% |
| Unknown | 12 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 57% |
| Scientists | 7 | 30% |
| Practitioners (doctors, other healthcare professionals) | 2 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 13% |
| Student > Master | 10 | 12% |
| Student > Bachelor | 7 | 8% |
| Other | 5 | 6% |
| Librarian | 4 | 5% |
| Other | 19 | 22% |
| Unknown | 30 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 13% |
| Nursing and Health Professions | 7 | 8% |
| Social Sciences | 6 | 7% |
| Computer Science | 6 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Other | 19 | 22% |
| Unknown | 33 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 20 January 2021.
All research outputs
#2,434,936
of 24,288,533 outputs
Outputs from BMC Medical Research Methodology
#359
of 2,155 outputs
Outputs of similar age
#63,519
of 412,929 outputs
Outputs of similar age from BMC Medical Research Methodology
#12
of 51 outputs
Altmetric has tracked 24,288,533 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,155 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 83% 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 412,929 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.