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Multidisciplinary approach to COVID-19 risk communication: a framework and tool for individual and regional risk assessment

Overview of attention for article published in Scientific Reports, December 2020
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
30 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
126 Mendeley
Title
Multidisciplinary approach to COVID-19 risk communication: a framework and tool for individual and regional risk assessment
Published in
Scientific Reports, December 2020
DOI 10.1038/s41598-020-78779-0
Pubmed ID
Authors

Rishi Ram Parajuli, Bhogendra Mishra, Amrit Banstola, Bhoj Raj Ghimire, Shobha Poudel, Kusum Sharma, Sameer Mani Dixit, Sunil Kumar Sah, Padam Simkhada, Edwin van Teijlingen

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 X users 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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 126 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 14%
Student > Master 15 12%
Student > Bachelor 12 10%
Other 9 7%
Student > Doctoral Student 7 6%
Other 18 14%
Unknown 47 37%
Readers by discipline Count As %
Medicine and Dentistry 17 13%
Nursing and Health Professions 14 11%
Social Sciences 13 10%
Engineering 7 6%
Agricultural and Biological Sciences 5 4%
Other 19 15%
Unknown 51 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 27 April 2021.
All research outputs
#1,284,008
of 24,151,461 outputs
Outputs from Scientific Reports
#12,546
of 131,332 outputs
Outputs of similar age
#35,717
of 515,186 outputs
Outputs of similar age from Scientific Reports
#479
of 4,453 outputs
Altmetric has tracked 24,151,461 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 131,332 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done particularly well, scoring higher than 90% 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 515,186 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 93% of its contemporaries.
We're also able to compare this research output to 4,453 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.