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X Demographics
Mendeley readers
Attention Score in Context
Title |
Adaptive Time-Dependent Priors and Bayesian Inference to Evaluate SARS-CoV-2 Public Health Measures Validated on 31 Countries
|
---|---|
Published in |
Frontiers in Public Health, January 2021
|
DOI | 10.3389/fpubh.2020.583401 |
Pubmed ID | |
Authors |
Hugues Turbé, Mina Bjelogrlic, Arnaud Robert, Christophe Gaudet-Blavignac, Jean-Philippe Goldman, Christian Lovis |
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 % |
---|---|---|
United Kingdom | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 33% |
Members of the public | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 12% |
Student > Master | 4 | 9% |
Student > Doctoral Student | 4 | 9% |
Researcher | 4 | 9% |
Librarian | 2 | 5% |
Other | 7 | 16% |
Unknown | 17 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 28% |
Nursing and Health Professions | 2 | 5% |
Social Sciences | 2 | 5% |
Veterinary Science and Veterinary Medicine | 1 | 2% |
Agricultural and Biological Sciences | 1 | 2% |
Other | 8 | 19% |
Unknown | 17 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 March 2022.
All research outputs
#16,645,910
of 24,490,209 outputs
Outputs from Frontiers in Public Health
#5,711
of 12,651 outputs
Outputs of similar age
#315,233
of 513,640 outputs
Outputs of similar age from Frontiers in Public Health
#225
of 393 outputs
Altmetric has tracked 24,490,209 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,651 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 50% 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 513,640 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 393 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.