You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Stockpiling Ventilators for Influenza Pandemics - Volume 23, Number 6—June 2017 - Emerging Infectious Diseases journal - CDC
|
|---|---|
| Published in |
Emerging Infectious Diseases, June 2017
|
| DOI | 10.3201/eid2306.161417 |
| Pubmed ID | |
| Authors |
Hsin-Chan Huang, Ozgur M. Araz, David P. Morton, Gregory P. Johnson, Paul Damien, Bruce Clements, Lauren Ancel Meyers |
| Abstract |
In preparing for influenza pandemics, public health agencies stockpile critical medical resources. Determining appropriate quantities and locations for such resources can be challenging, given the considerable uncertainty in the timing and severity of future pandemics. We introduce a method for optimizing stockpiles of mechanical ventilators, which are critical for treating hospitalized influenza patients in respiratory failure. As a case study, we consider the US state of Texas during mild, moderate, and severe pandemics. Optimal allocations prioritize local over central storage, even though the latter can be deployed adaptively, on the basis of real-time needs. This prioritization stems from high geographic correlations and the slightly lower treatment success assumed for centrally stockpiled ventilators. We developed our model and analysis in collaboration with academic researchers and a state public health agency and incorporated it into a Web-based decision-support tool for pandemic preparedness and response. |
X Demographics
The data shown below were collected from the profiles of 92 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 States | 33 | 36% |
| United Kingdom | 5 | 5% |
| Canada | 3 | 3% |
| Italy | 1 | 1% |
| Spain | 1 | 1% |
| Switzerland | 1 | 1% |
| Hungary | 1 | 1% |
| Greece | 1 | 1% |
| South Africa | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 44 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 76 | 83% |
| Scientists | 10 | 11% |
| Practitioners (doctors, other healthcare professionals) | 4 | 4% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 17% |
| Researcher | 9 | 16% |
| Student > Ph. D. Student | 5 | 9% |
| Other | 4 | 7% |
| Student > Bachelor | 4 | 7% |
| Other | 10 | 17% |
| Unknown | 16 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 17% |
| Nursing and Health Professions | 6 | 10% |
| Business, Management and Accounting | 5 | 9% |
| Medicine and Dentistry | 4 | 7% |
| Computer Science | 3 | 5% |
| Other | 13 | 22% |
| Unknown | 17 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 660. 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 09 February 2024.
All research outputs
#33,073
of 25,713,737 outputs
Outputs from Emerging Infectious Diseases
#110
of 9,784 outputs
Outputs of similar age
#633
of 331,485 outputs
Outputs of similar age from Emerging Infectious Diseases
#2
of 119 outputs
Altmetric has tracked 25,713,737 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,784 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.1. This one has done particularly well, scoring higher than 98% 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 331,485 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 99% of its contemporaries.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.