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Association of Autoimmune Addison's Disease with Alleles of STAT4 and GATA3 in European Cohorts

Overview of attention for article published in PLOS ONE, March 2014
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Title
Association of Autoimmune Addison's Disease with Alleles of STAT4 and GATA3 in European Cohorts
Published in
PLOS ONE, March 2014
DOI 10.1371/journal.pone.0088991
Pubmed ID
Authors

Anna L. Mitchell, Katie D. R. Macarthur, Earn H. Gan, Lucy E. Baggott, Anette S. B. Wolff, Beate Skinningsrud, Hazel Platt, Andrea Short, Anna Lobell, Olle Kämpe, Sophie Bensing, Corrado Betterle, Anna Kasperlik-Zaluska, Magdalena Zurawek, Marta Fichna, Ingrid Kockum, Gabriel Nordling Eriksson, Olov Ekwall, Jeanette Wahlberg, Per Dahlqvist, Anna-Lena Hulting, Marissa Penna-Martinez, Gesine Meyer, Heinrich Kahles, Klaus Badenhoop, Stephanie Hahner, Marcus Quinkler, Alberto Falorni, Amanda Phipps-Green, Tony R. Merriman, William Ollier, Heather J. Cordell, Dag Undlien, Barbara Czarnocka, Eystein Husebye, Simon H. S. Pearce

Abstract

Gene variants known to contribute to Autoimmune Addison's disease (AAD) susceptibility include those at the MHC, MICA, CIITA, CTLA4, PTPN22, CYP27B1, NLRP-1 and CD274 loci. The majority of the genetic component to disease susceptibility has yet to be accounted for.

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

Geographical breakdown

Country Count As %
Australia 1 2%
Brazil 1 2%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 22%
Researcher 7 14%
Student > Ph. D. Student 4 8%
Professor 3 6%
Student > Master 3 6%
Other 7 14%
Unknown 15 30%
Readers by discipline Count As %
Medicine and Dentistry 12 24%
Nursing and Health Professions 6 12%
Agricultural and Biological Sciences 4 8%
Biochemistry, Genetics and Molecular Biology 3 6%
Computer Science 2 4%
Other 7 14%
Unknown 16 32%
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 27 March 2014.
All research outputs
#15,298,293
of 22,751,628 outputs
Outputs from PLOS ONE
#130,420
of 194,172 outputs
Outputs of similar age
#130,972
of 220,768 outputs
Outputs of similar age from PLOS ONE
#3,722
of 5,821 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,172 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 24th percentile – i.e., 24% 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 220,768 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,821 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.