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Validation of a clinical risk-scoring algorithm for severe scrub typhus

Overview of attention for article published in Risk Management and Healthcare Policy, February 2014
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
8 Mendeley
Title
Validation of a clinical risk-scoring algorithm for severe scrub typhus
Published in
Risk Management and Healthcare Policy, February 2014
DOI 10.2147/rmhp.s56974
Pubmed ID
Authors

Sirianong Namwongprom, Pamornsri Sriwongpan, Jayanton Patumanond, Pornsuda Krittigamas, Hutsaya Tantipong, Chamaiporn Tawichasri

Abstract

The aim of the study reported here was to validate the risk-scoring algorithm for prognostication of scrub typhus severity.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Student > Ph. D. Student 2 25%
Student > Postgraduate 1 13%
Student > Master 1 13%
Lecturer 1 13%
Other 1 13%
Readers by discipline Count As %
Unspecified 4 50%
Agricultural and Biological Sciences 2 25%
Immunology and Microbiology 1 13%
Medicine and Dentistry 1 13%

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 04 March 2014.
All research outputs
#2,975,831
of 4,506,214 outputs
Outputs from Risk Management and Healthcare Policy
#42
of 56 outputs
Outputs of similar age
#75,569
of 112,125 outputs
Outputs of similar age from Risk Management and Healthcare Policy
#6
of 6 outputs
Altmetric has tracked 4,506,214 research outputs across all sources so far. This one is in the 30th percentile – i.e., 30% of other outputs scored the same or lower than it.
So far Altmetric has tracked 56 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 21st percentile – i.e., 21% 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 112,125 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.