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X Demographics
Mendeley readers
Attention Score in Context
Title |
Predicting critical illness mortality and personalizing therapy: moving to multi-dimensional data
|
---|---|
Published in |
Critical Care, January 2017
|
DOI | 10.1186/s13054-016-1597-6 |
Pubmed ID | |
Authors |
Zudin A. Puthucheary, Paul Wischmeyer |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 28% |
United Kingdom | 7 | 24% |
Argentina | 3 | 10% |
Canada | 2 | 7% |
Russia | 1 | 3% |
Australia | 1 | 3% |
Venezuela, Bolivarian Republic of | 1 | 3% |
Spain | 1 | 3% |
Unknown | 5 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 48% |
Practitioners (doctors, other healthcare professionals) | 6 | 21% |
Scientists | 5 | 17% |
Science communicators (journalists, bloggers, editors) | 4 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 13% |
Student > Master | 4 | 13% |
Student > Postgraduate | 3 | 10% |
Professor > Associate Professor | 3 | 10% |
Student > Bachelor | 2 | 7% |
Other | 9 | 30% |
Unknown | 5 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 53% |
Nursing and Health Professions | 5 | 17% |
Unspecified | 1 | 3% |
Engineering | 1 | 3% |
Unknown | 7 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 17 February 2017.
All research outputs
#2,295,850
of 25,529,543 outputs
Outputs from Critical Care
#2,006
of 6,580 outputs
Outputs of similar age
#46,307
of 424,979 outputs
Outputs of similar age from Critical Care
#28
of 60 outputs
Altmetric has tracked 25,529,543 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,580 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one has gotten more attention than average, scoring higher than 69% 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 424,979 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.