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Use of dynamic microsimulation to predict disease progression in patients with pneumonia-related sepsis

Overview of attention for article published in Critical Care, June 2007
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Mentioned by

policy
1 policy source

Readers on

mendeley
59 Mendeley
citeulike
1 CiteULike
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Title
Use of dynamic microsimulation to predict disease progression in patients with pneumonia-related sepsis
Published in
Critical Care, June 2007
DOI 10.1186/cc5942
Pubmed ID
Authors

Görkem Saka, Jennifer E Kreke, Andrew J Schaefer, Chung-Chou H Chang, Mark S Roberts, Derek C Angus, the GenIMS Investigators

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
United Kingdom 1 2%
Vietnam 1 2%
Unknown 54 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Researcher 10 17%
Student > Master 7 12%
Professor > Associate Professor 5 8%
Professor 4 7%
Other 6 10%
Unknown 12 20%
Readers by discipline Count As %
Medicine and Dentistry 23 39%
Agricultural and Biological Sciences 6 10%
Engineering 5 8%
Computer Science 5 8%
Business, Management and Accounting 3 5%
Other 5 8%
Unknown 12 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 January 2010.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from Critical Care
#4,396
of 6,554 outputs
Outputs of similar age
#29,384
of 81,769 outputs
Outputs of similar age from Critical Care
#15
of 22 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 28th percentile – i.e., 28% 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 81,769 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.