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Disease causing mutations in the TNF and TNFR superfamilies: Focus on molecular mechanisms driving disease

Overview of attention for article published in Trends in Molecular Medicine, July 2011
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Title
Disease causing mutations in the TNF and TNFR superfamilies: Focus on molecular mechanisms driving disease
Published in
Trends in Molecular Medicine, July 2011
DOI 10.1016/j.molmed.2011.05.006
Pubmed ID
Authors

Adrian A. Lobito, Tanit L. Gabriel, Jan Paul Medema, Fiona C. Kimberley

Abstract

The tumor necrosis factor (TNF) and TNF receptor (TNFR) superfamilies comprise multidomain proteins with diverse roles in cell activation, proliferation and cell death. These proteins play pivotal roles in the initiation, maintenance and termination of immune responses and have vital roles outside the immune system. The discovery and analysis of diseases associated with mutations in these families has revealed crucial mechanistic details of their normal functions. This review focuses on mutations causing four different diseases, which represent distinct pathological mechanisms that can exist within these superfamilies: autoimmune lymphoproliferative syndrome (ALPS; FAS mutations), common variable immunodeficiency (CVID; TACI mutations), tumor necrosis factor receptor associated periodic syndrome (TRAPS; TNFR1 mutations) and hypohidrotic ectodermal dysplasia (HED; EDA1/EDAR mutations). In particular, we highlight how mutations have revealed information about normal receptor-ligand function and how such studies might direct new therapeutic approaches.

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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 98 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%
Germany 1 1%
Belgium 1 1%
Unknown 94 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 26%
Student > Ph. D. Student 15 15%
Student > Master 10 10%
Student > Bachelor 8 8%
Student > Doctoral Student 7 7%
Other 20 20%
Unknown 13 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 32%
Medicine and Dentistry 26 27%
Immunology and Microbiology 10 10%
Biochemistry, Genetics and Molecular Biology 7 7%
Nursing and Health Professions 2 2%
Other 5 5%
Unknown 17 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 25 August 2011.
All research outputs
#22,758,309
of 25,371,288 outputs
Outputs from Trends in Molecular Medicine
#1,906
of 1,931 outputs
Outputs of similar age
#117,977
of 127,216 outputs
Outputs of similar age from Trends in Molecular Medicine
#23
of 25 outputs
Altmetric has tracked 25,371,288 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 1,931 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. 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 25 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.