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X Demographics
Mendeley readers
Attention Score in Context
Title |
Pushing past the tipping points in containment trajectories of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemics: A simple arithmetic rationale for crushing the curve instead of merely flattening it
|
---|---|
Published in |
Infectious Disease Modelling, June 2020
|
DOI | 10.1016/j.idm.2020.06.001 |
Pubmed ID | |
Authors |
Gerry F. Killeen |
X Demographics
The data shown below were collected from the profiles of 56 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 25 | 45% |
United Kingdom | 3 | 5% |
Sweden | 2 | 4% |
North Macedonia | 1 | 2% |
Finland | 1 | 2% |
United States | 1 | 2% |
Italy | 1 | 2% |
Unknown | 22 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 43 | 77% |
Scientists | 8 | 14% |
Science communicators (journalists, bloggers, editors) | 2 | 4% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Unknown | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 55 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 7 | 13% |
Student > Master | 6 | 11% |
Researcher | 6 | 11% |
Student > Doctoral Student | 6 | 11% |
Student > Bachelor | 5 | 9% |
Other | 12 | 22% |
Unknown | 13 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 24% |
Nursing and Health Professions | 5 | 9% |
Veterinary Science and Veterinary Medicine | 4 | 7% |
Agricultural and Biological Sciences | 2 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Other | 12 | 22% |
Unknown | 17 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 December 2021.
All research outputs
#1,159,811
of 25,646,963 outputs
Outputs from Infectious Disease Modelling
#16
of 291 outputs
Outputs of similar age
#33,652
of 433,541 outputs
Outputs of similar age from Infectious Disease Modelling
#3
of 14 outputs
Altmetric has tracked 25,646,963 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 291 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.9. This one has done particularly well, scoring higher than 94% 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 433,541 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 92% of its contemporaries.
We're also able to compare this research output to 14 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.