↓ Skip to main content

Predicting critical illness mortality and personalizing therapy: moving to multi-dimensional data

Overview of attention for article published in Critical Care, January 2017
Altmetric Badge

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 (89th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
32 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
23 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

Twitter Demographics

The data shown below were collected from the profiles of 32 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 %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Student > Master 4 17%
Student > Postgraduate 3 13%
Professor > Associate Professor 3 13%
Researcher 2 9%
Other 5 22%
Unknown 2 9%
Readers by discipline Count As %
Medicine and Dentistry 15 65%
Nursing and Health Professions 3 13%
Neuroscience 1 4%
Unknown 4 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 20 February 2017.
All research outputs
#1,166,005
of 15,919,321 outputs
Outputs from Critical Care
#1,127
of 5,030 outputs
Outputs of similar age
#36,136
of 359,618 outputs
Outputs of similar age from Critical Care
#13
of 36 outputs
Altmetric has tracked 15,919,321 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,030 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 77% 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 359,618 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 36 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 63% of its contemporaries.