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FIBTEM provides early prediction of massive transfusion in trauma

Overview of attention for article published in Critical Care, November 2011
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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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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2 policy sources
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1 X user

Readers on

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147 Mendeley
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Title
FIBTEM provides early prediction of massive transfusion in trauma
Published in
Critical Care, November 2011
DOI 10.1186/cc10539
Pubmed ID
Authors

Herbert Schöchl, Bryan Cotton, Kenji Inaba, Ulrike Nienaber, Henrik Fischer, Wolfgang Voelckel, Cristina Solomon

Abstract

Prediction of massive transfusion (MT) among trauma patients is difficult in the early phase of trauma management. Whole-blood thromboelastometry (ROTEM®) tests provide immediate information about the coagulation status of acute bleeding trauma patients. We investigated their value for early prediction of MT.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
Italy 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
Unknown 141 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 18%
Other 23 16%
Student > Master 16 11%
Student > Bachelor 15 10%
Student > Postgraduate 15 10%
Other 31 21%
Unknown 21 14%
Readers by discipline Count As %
Medicine and Dentistry 99 67%
Agricultural and Biological Sciences 6 4%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Immunology and Microbiology 3 2%
Engineering 3 2%
Other 8 5%
Unknown 25 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 2018.
All research outputs
#5,240,151
of 25,373,627 outputs
Outputs from Critical Care
#3,406
of 6,554 outputs
Outputs of similar age
#29,496
of 154,033 outputs
Outputs of similar age from Critical Care
#17
of 77 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 47th percentile – i.e., 47% 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 154,033 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 80% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.