↓ Skip to main content

Genome-Level Longitudinal Expression of Signaling Pathways and Gene Networks in Pediatric Septic Shock

Overview of attention for article published in Molecular Medicine, September 2007
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 (85th percentile)

Mentioned by

patent
9 patents

Citations

dimensions_citation
109 Dimensions

Readers on

mendeley
51 Mendeley
connotea
1 Connotea
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
Genome-Level Longitudinal Expression of Signaling Pathways and Gene Networks in Pediatric Septic Shock
Published in
Molecular Medicine, September 2007
DOI 10.2119/2007-00065.shanley
Pubmed ID
Authors

Thomas P. Shanley, Natalie Cvijanovich, Richard Lin, Geoffrey L. Allen, Neal J. Thomas, Allan Doctor, Meena Kalyanaraman, Nancy M. Tofil, Scott Penfil, Marie Monaco, Kelli Odoms, Michael Barnes, Bhuvaneswari Sakthivel, Bruce J. Aronow, Hector R. Wong

Abstract

We have conducted longitudinal studies focused on the expression profiles of signaling pathways and gene networks in children with septic shock. Genome-level expression profiles were generated from whole blood-derived RNA of children with septic shock (n=30) corresponding to day one and day three of septic shock, respectively. Based on sequential statistical and expression filters, day one and day three of septic shock were characterized by differential regulation of 2,142 and 2,504 gene probes, respectively, relative to controls (n=15). Venn analysis demonstrated 239 unique genes in the day one dataset, 598 unique genes in the day three dataset, and 1,906 genes common to both datasets. Functional analyses demonstrated time-dependent, differential regulation of genes involved in multiple signaling pathways and gene networks primarily related to immunity and inflammation. Notably, multiple and distinct gene networks involving T cell- and MHC antigen-related biology were persistently downregulated on both day one and day three. Further analyses demonstrated large scale, persistent downregulation of genes corresponding to functional annotations related to zinc homeostasis. These data represent the largest reported cohort of patients with septic shock subjected to longitudinal genome-level expression profiling. The data further advance our genome-level understanding of pediatric septic shock and support novel hypotheses.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Indonesia 1 2%
Switzerland 1 2%
Brazil 1 2%
United States 1 2%
Unknown 45 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 25%
Student > Ph. D. Student 11 22%
Student > Master 4 8%
Student > Bachelor 4 8%
Student > Doctoral Student 3 6%
Other 9 18%
Unknown 7 14%
Readers by discipline Count As %
Medicine and Dentistry 19 37%
Agricultural and Biological Sciences 14 27%
Biochemistry, Genetics and Molecular Biology 4 8%
Immunology and Microbiology 2 4%
Computer Science 1 2%
Other 2 4%
Unknown 9 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 27 October 2020.
All research outputs
#3,315,441
of 23,031,582 outputs
Outputs from Molecular Medicine
#120
of 1,150 outputs
Outputs of similar age
#8,081
of 69,431 outputs
Outputs of similar age from Molecular Medicine
#2
of 4 outputs
Altmetric has tracked 23,031,582 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,150 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done well, scoring higher than 87% 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 69,431 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 85% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.