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Identification of pediatric septic shock subclasses based on genome-wide expression profiling

Overview of attention for article published in BMC Medicine, July 2009
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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 (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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1 X user
patent
7 patents

Citations

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215 Dimensions

Readers on

mendeley
134 Mendeley
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Title
Identification of pediatric septic shock subclasses based on genome-wide expression profiling
Published in
BMC Medicine, July 2009
DOI 10.1186/1741-7015-7-34
Pubmed ID
Authors

Hector R Wong, Natalie Cvijanovich, Richard Lin, Geoffrey L Allen, Neal J Thomas, Douglas F Willson, Robert J Freishtat, Nick Anas, Keith Meyer, Paul A Checchia, Marie Monaco, Kelli Odom, Thomas P Shanley

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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 1 <1%
Brazil 1 <1%
Unknown 129 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 21%
Student > Master 21 16%
Student > Ph. D. Student 15 11%
Student > Bachelor 9 7%
Other 8 6%
Other 22 16%
Unknown 31 23%
Readers by discipline Count As %
Medicine and Dentistry 46 34%
Agricultural and Biological Sciences 19 14%
Biochemistry, Genetics and Molecular Biology 12 9%
Immunology and Microbiology 6 4%
Nursing and Health Professions 3 2%
Other 12 9%
Unknown 36 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 12 April 2022.
All research outputs
#3,156,883
of 23,515,383 outputs
Outputs from BMC Medicine
#1,819
of 3,554 outputs
Outputs of similar age
#11,519
of 112,172 outputs
Outputs of similar age from BMC Medicine
#4
of 13 outputs
Altmetric has tracked 23,515,383 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.5. This one is in the 48th percentile – i.e., 48% 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 112,172 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 88% of its contemporaries.
We're also able to compare this research output to 13 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 61% of its contemporaries.