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The structural network of Interleukin-10 and its implications in inflammation and cancer

Overview of attention for article published in BMC Genomics, May 2014
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Title
The structural network of Interleukin-10 and its implications in inflammation and cancer
Published in
BMC Genomics, May 2014
DOI 10.1186/1471-2164-15-s4-s2
Pubmed ID
Authors

Ece Saliha Acuner-Ozbabacan, Billur Hatice Engin, Emine Guven-Maiorov, Guray Kuzu, Serena Muratcioglu, Alper Baspinar, Zhong Chen, Carter Van Waes, Attila Gursoy, Ozlem Keskin, Ruth Nussinov

Abstract

Inflammation has significant roles in all phases of tumor development, including initiation, progression and metastasis. Interleukin-10 (IL-10) is a well-known immuno-modulatory cytokine with an anti-inflammatory activity. Lack of IL-10 allows induction of pro-inflammatory cytokines and hinders anti-tumor immunity, thereby favoring tumor growth. The IL-10 network is among the most important paths linking cancer and inflammation. The simple node-and-edge network representation is useful, but limited, hampering the understanding of the mechanistic details of signaling pathways. Structural networks complete the missing parts, and provide details. The IL-10 structural network may shed light on the mechanisms through which disease-related mutations work and the pathogenesis of malignancies.

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

Geographical breakdown

Country Count As %
Japan 1 1%
Spain 1 1%
Unknown 67 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 22%
Researcher 13 19%
Student > Bachelor 6 9%
Student > Postgraduate 5 7%
Professor 4 6%
Other 14 20%
Unknown 12 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 23%
Medicine and Dentistry 14 20%
Agricultural and Biological Sciences 11 16%
Computer Science 5 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 6 9%
Unknown 15 22%
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 25 July 2014.
All research outputs
#20,233,066
of 22,758,963 outputs
Outputs from BMC Genomics
#9,263
of 10,637 outputs
Outputs of similar age
#191,907
of 226,283 outputs
Outputs of similar age from BMC Genomics
#158
of 197 outputs
Altmetric has tracked 22,758,963 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 10,637 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 197 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.