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Shock index: blunt clinical predictions

Overview of attention for article published in Critical Care, January 2013
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Mentioned by

twitter
2 tweeters

Readers on

mendeley
23 Mendeley
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Title
Shock index: blunt clinical predictions
Published in
Critical Care, January 2013
DOI 10.1186/cc13125
Pubmed ID
Authors

Boning Li, Christine Fanning, Amit Patel, Amay Parikh

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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Romania 1 4%
Brazil 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 17%
Student > Postgraduate 4 17%
Student > Doctoral Student 2 9%
Researcher 2 9%
Student > Master 2 9%
Other 4 17%
Unknown 5 22%
Readers by discipline Count As %
Medicine and Dentistry 13 57%
Agricultural and Biological Sciences 1 4%
Chemistry 1 4%
Neuroscience 1 4%
Unknown 7 30%

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 21 November 2013.
All research outputs
#15,285,728
of 22,731,677 outputs
Outputs from Critical Care
#4,978
of 6,039 outputs
Outputs of similar age
#181,570
of 280,774 outputs
Outputs of similar age from Critical Care
#226
of 287 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one is in the 11th percentile – i.e., 11% 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 280,774 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 287 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.