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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Why lockdown? Why national unity? Why global solidarity? Simplified arithmetic tools for decision-makers, health professionals, journalists and the general public to explore containment options for the 2019 novel coronavirus
|
|---|---|
| Published in |
Infectious Disease Modelling, July 2020
|
| DOI | 10.1016/j.idm.2020.06.006 |
| Pubmed ID | |
| Authors |
Gerry F. Killeen, Samson S. Kiware |
X Demographics
The data shown below were collected from the profiles of 13 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 | 4 | 31% |
| United States | 2 | 15% |
| Unknown | 7 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 85% |
| Practitioners (doctors, other healthcare professionals) | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 191 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 27 | 14% |
| Student > Bachelor | 23 | 12% |
| Researcher | 21 | 11% |
| Student > Ph. D. Student | 12 | 6% |
| Lecturer | 11 | 6% |
| Other | 39 | 20% |
| Unknown | 58 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 36 | 19% |
| Nursing and Health Professions | 20 | 10% |
| Social Sciences | 10 | 5% |
| Computer Science | 7 | 4% |
| Psychology | 7 | 4% |
| Other | 48 | 25% |
| Unknown | 63 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 13 September 2021.
All research outputs
#3,806,965
of 25,646,963 outputs
Outputs from Infectious Disease Modelling
#46
of 291 outputs
Outputs of similar age
#97,694
of 432,879 outputs
Outputs of similar age from Infectious Disease Modelling
#8
of 15 outputs
Altmetric has tracked 25,646,963 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% 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 18.8. 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 432,879 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 77% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.