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System biology prediction model based on clinical data: highly accurate outcome prediction in patients with acute-on-chronic liver failure

Overview of attention for article published in Critical Care, March 2012
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Mentioned by

peer_reviews
1 peer review site

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
6 Mendeley
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Title
System biology prediction model based on clinical data: highly accurate outcome prediction in patients with acute-on-chronic liver failure
Published in
Critical Care, March 2012
DOI 10.1186/cc10996
Authors

MJ McPhail, DL Shawcross, RD Abeles, T Chang, GL Lee, MA Abdulla, C Willars, E Sizer, G Auzinger, W Bernal, JA Wendon

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 17%
Student > Ph. D. Student 1 17%
Researcher 1 17%
Unknown 3 50%
Readers by discipline Count As %
Medicine and Dentistry 3 50%
Unknown 3 50%
Attention Score in Context

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 01 December 2017.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Critical Care
#5,467
of 6,554 outputs
Outputs of similar age
#112,497
of 171,930 outputs
Outputs of similar age from Critical Care
#73
of 124 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 10th percentile – i.e., 10% 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 171,930 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.