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Developing a Hospital Disaster Risk Management Evaluation Model

Overview of attention for article published in Risk Management and Healthcare Policy, December 2019
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Mentioned by

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1 X user

Citations

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21 Dimensions

Readers on

mendeley
132 Mendeley
Title
Developing a Hospital Disaster Risk Management Evaluation Model
Published in
Risk Management and Healthcare Policy, December 2019
DOI 10.2147/rmhp.s215444
Pubmed ID
Authors

Masoumeh Abbasabadi Arab, Hamid Reza Khankeh, Ali Mohammad Mosadeghrad, Mehrdad Farrokhi

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 14%
Lecturer 13 10%
Student > Bachelor 12 9%
Student > Postgraduate 7 5%
Student > Ph. D. Student 7 5%
Other 17 13%
Unknown 58 44%
Readers by discipline Count As %
Nursing and Health Professions 21 16%
Medicine and Dentistry 11 8%
Business, Management and Accounting 10 8%
Engineering 7 5%
Unspecified 5 4%
Other 19 14%
Unknown 59 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 September 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from Risk Management and Healthcare Policy
#565
of 647 outputs
Outputs of similar age
#386,003
of 460,467 outputs
Outputs of similar age from Risk Management and Healthcare Policy
#15
of 16 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 647 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 460,467 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.