| Title |
Flattening the curves: on-off lock-down strategies for COVID-19 with an application to Brazil
|
|---|---|
| Published in |
Journal of Mathematics in Industry, January 2021
|
| DOI | 10.1186/s13362-020-00098-w |
| Pubmed ID | |
| Authors |
Luís Tarrataca, Claudia Mazza Dias, Diego Barreto Haddad, Edilson Fernandes De Arruda |
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 % |
|---|---|---|
| Spain | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 10% |
| Student > Bachelor | 9 | 10% |
| Researcher | 8 | 9% |
| Professor | 8 | 9% |
| Student > Doctoral Student | 6 | 6% |
| Other | 16 | 17% |
| Unknown | 37 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 12% |
| Nursing and Health Professions | 6 | 6% |
| Social Sciences | 6 | 6% |
| Engineering | 5 | 5% |
| Economics, Econometrics and Finance | 4 | 4% |
| Other | 26 | 28% |
| Unknown | 35 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 August 2020.
All research outputs
#16,057,393
of 25,387,668 outputs
Outputs from Journal of Mathematics in Industry
#23
of 44 outputs
Outputs of similar age
#290,600
of 520,178 outputs
Outputs of similar age from Journal of Mathematics in Industry
#2
of 4 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 44 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one scored the same or higher as 21 of them.
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 520,178 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.