↓ Skip to main content

Characterizing hospital workers' willingness to report to duty in an influenza pandemic through threat- and efficacy-based assessment

Overview of attention for article published in BMC Public Health, July 2010
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
147 Mendeley
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.
Title
Characterizing hospital workers' willingness to report to duty in an influenza pandemic through threat- and efficacy-based assessment
Published in
BMC Public Health, July 2010
DOI 10.1186/1471-2458-10-436
Pubmed ID
Authors

Ran D Balicer, Daniel J Barnett, Carol B Thompson, Edbert B Hsu, Christina L Catlett, Christopher M Watson, Natalie L Semon, Howard S Gwon, Jonathan M Links

Abstract

Hospital-based providers' willingness to report to work during an influenza pandemic is a critical yet under-studied phenomenon. Witte's Extended Parallel Process Model (EPPM) has been shown to be useful for understanding adaptive behavior of public health workers to an unknown risk, and thus offers a framework for examining scenario-specific willingness to respond among hospital staff.

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 <1%
United States 1 <1%
Unknown 145 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 18%
Researcher 21 14%
Student > Bachelor 19 13%
Student > Master 14 10%
Student > Doctoral Student 10 7%
Other 26 18%
Unknown 30 20%
Readers by discipline Count As %
Medicine and Dentistry 38 26%
Nursing and Health Professions 21 14%
Social Sciences 14 10%
Psychology 11 7%
Agricultural and Biological Sciences 6 4%
Other 23 16%
Unknown 34 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 24 March 2020.
All research outputs
#905,960
of 17,347,018 outputs
Outputs from BMC Public Health
#966
of 11,726 outputs
Outputs of similar age
#9,199
of 163,734 outputs
Outputs of similar age from BMC Public Health
#1
of 3 outputs
Altmetric has tracked 17,347,018 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,726 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one has done particularly well, scoring higher than 91% 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 163,734 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 94% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them