↓ Skip to main content

Evolutionary divergence and functions of the human interleukin (IL) gene family

Overview of attention for article published in Human Genomics, October 2010
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 (87th percentile)

Mentioned by

patent
4 patents
wikipedia
5 Wikipedia pages

Readers on

mendeley
375 Mendeley
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
Evolutionary divergence and functions of the human interleukin (IL) gene family
Published in
Human Genomics, October 2010
DOI 10.1186/1479-7364-5-1-30
Pubmed ID
Authors

Chad Brocker, David Thompson, Akiko Matsumoto, Daniel W Nebert, Vasilis Vasiliou

Abstract

Cytokines play a very important role in nearly all aspects of inflammation and immunity. The term 'interleukin' (IL) has been used to describe a group of cytokines with complex immunomodulatory functions - including cell proliferation, maturation, migration and adhesion. These cytokines also play an important role in immune cell differentiation and activation. Determining the exact function of a particular cytokine is complicated by the influence of the producing cell type, the responding cell type and the phase of the immune response. ILs can also have pro- and anti-inflammatory effects, further complicating their characterisation. These molecules are under constant pressure to evolve due to continual competition between the host's immune system and infecting organisms; as such, ILs have undergone significant evolution. This has resulted in little amino acid conservation between orthologous proteins, which further complicates the gene family organisation. Within the literature there are a number of overlapping nomenclature and classification systems derived from biological function, receptor-binding properties and originating cell type. Determining evolutionary relationships between ILs therefore can be confusing. More recently, crystallographic data and the identification of common structural motifs have led to a more accurate classification system. To date, the known ILs can be divided into four major groups based on distinguishing structural features. These groups include the genes encoding the IL1-like cytokines, the class I helical cytokines (IL4-like, γ-chain and IL6/12-like), the class II helical cytokines (IL10-like and IL28-like) and the IL17-like cytokines. In addition, there are a number of ILs that do not fit into any of the above groups, due either to their unique structural features or lack of structural information. This suggests that the gene family organisation may be subject to further change in the near future.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 375 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Netherlands 1 <1%
Egypt 1 <1%
Canada 1 <1%
Belgium 1 <1%
Mexico 1 <1%
Unknown 365 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 67 18%
Student > Master 62 17%
Student > Ph. D. Student 57 15%
Researcher 28 7%
Student > Doctoral Student 18 5%
Other 43 11%
Unknown 100 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 76 20%
Medicine and Dentistry 64 17%
Biochemistry, Genetics and Molecular Biology 62 17%
Immunology and Microbiology 15 4%
Chemistry 14 4%
Other 44 12%
Unknown 100 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 December 2022.
All research outputs
#2,935,038
of 26,017,215 outputs
Outputs from Human Genomics
#80
of 577 outputs
Outputs of similar age
#11,520
of 113,086 outputs
Outputs of similar age from Human Genomics
#1
of 3 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 577 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 85% 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 113,086 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 87% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them