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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Forecasting the 2020 COVID-19 Epidemic: A Multivariate Quasi-Poisson Regression to Model the Evolution of New Cases in Chile
|
|---|---|
| Published in |
Frontiers in Public Health, April 2021
|
| DOI | 10.3389/fpubh.2021.610479 |
| Pubmed ID | |
| Authors |
María Ignacia Vicuña, Cristián Vásquez, Bernardo F. Quiroga |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 25% |
| Chile | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 14% |
| Student > Bachelor | 2 | 9% |
| Unspecified | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 12 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 14% |
| Environmental Science | 2 | 9% |
| Mathematics | 1 | 5% |
| Unspecified | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 13 | 59% |
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 02 July 2021.
All research outputs
#12,906,680
of 23,308,124 outputs
Outputs from Frontiers in Public Health
#2,703
of 10,825 outputs
Outputs of similar age
#178,849
of 434,841 outputs
Outputs of similar age from Frontiers in Public Health
#156
of 489 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,825 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has gotten more attention than average, scoring higher than 74% 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 434,841 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 58% of its contemporaries.
We're also able to compare this research output to 489 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.