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A systems biology approach to suppress TNF-induced proinflammatory gene expressions

Overview of attention for article published in Cell Communication and Signaling, November 2013
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Title
A systems biology approach to suppress TNF-induced proinflammatory gene expressions
Published in
Cell Communication and Signaling, November 2013
DOI 10.1186/1478-811x-11-84
Pubmed ID
Authors

Kentaro Hayashi, Vincent Piras, Sho Tabata, Masaru Tomita, Kumar Selvarajoo

Abstract

Tumor necrosis factor (TNF) is a widely studied cytokine (ligand) that induces proinflammatory signaling and regulates myriad cellular processes. In major illnesses, such as rheumatoid arthritis and certain cancers, the expression of TNF is elevated. Despite much progress in the field, the targeted regulation of TNF response for therapeutic benefits remains suboptimal. Here, to effectively regulate the proinflammatory response induced by TNF, a systems biology approach was adopted.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Sweden 1 2%
Germany 1 2%
Norway 1 2%
Unknown 56 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 30%
Researcher 9 15%
Student > Master 9 15%
Other 4 7%
Professor 3 5%
Other 8 13%
Unknown 9 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 27%
Biochemistry, Genetics and Molecular Biology 11 18%
Medicine and Dentistry 9 15%
Engineering 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 8 13%
Unknown 10 17%
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 16 November 2013.
All research outputs
#20,210,424
of 22,731,677 outputs
Outputs from Cell Communication and Signaling
#907
of 982 outputs
Outputs of similar age
#187,802
of 215,614 outputs
Outputs of similar age from Cell Communication and Signaling
#9
of 12 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 982 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% 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 215,614 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.