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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Design of non-pharmaceutical intervention strategies for pandemic influenza outbreaks
|
|---|---|
| Published in |
BMC Public Health, December 2014
|
| DOI | 10.1186/1471-2458-14-1328 |
| Pubmed ID | |
| Authors |
Dayna L Martinez, Tapas K Das |
| Abstract |
As seen during past pandemic influenza outbreaks, pharmaceutical interventions (PHIs) withvaccines and antivirals are the most effective methods of mitigation. However, availability of PHIs isunlikely to be adequate during the early stages of a pandemic. Hence, for early mitigation andpossible containment, non-pharmaceutical interventions (NPIs) offer a viable alternative. Also, NPIsmay be the only available interventions for most underdeveloped countries. In this paper we presenta comprehensive methodology for design of effective NPI strategies. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Practitioners (doctors, other healthcare professionals) | 2 | 33% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 6% |
| Unknown | 64 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 19% |
| Student > Master | 11 | 16% |
| Student > Bachelor | 10 | 15% |
| Student > Doctoral Student | 8 | 12% |
| Student > Ph. D. Student | 5 | 7% |
| Other | 10 | 15% |
| Unknown | 11 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 21% |
| Nursing and Health Professions | 9 | 13% |
| Social Sciences | 8 | 12% |
| Engineering | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Other | 12 | 18% |
| Unknown | 18 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 March 2021.
All research outputs
#2,709,357
of 23,881,329 outputs
Outputs from BMC Public Health
#3,065
of 15,466 outputs
Outputs of similar age
#38,249
of 358,160 outputs
Outputs of similar age from BMC Public Health
#54
of 234 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done well, scoring higher than 80% 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 358,160 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 89% of its contemporaries.
We're also able to compare this research output to 234 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.