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Cytotoxic T-lymphocyte associated antigen 4 gene polymorphisms and autoimmune thyroid disease: a meta-analysis.

Overview of attention for article published in JCEM, May 2007
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6 Wikipedia pages

Citations

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150 Dimensions

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85 Mendeley
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Title
Cytotoxic T-lymphocyte associated antigen 4 gene polymorphisms and autoimmune thyroid disease: a meta-analysis.
Published in
JCEM, May 2007
DOI 10.1210/jc.2007-0147
Pubmed ID
Authors

Fotini K. Kavvoura, Takashi Akamizu, Takuya Awata, Yoshiyuki Ban, Dimitry A. Chistiakov, Irena Frydecka, Abbas Ghaderi, Stephen C. Gough, Yuji Hiromatsu, Rafal Ploski, Pei-Wen Wang, Yoshio Ban, Tomasz Bednarczuk, Emma I. Chistiakova, Marcin Chojm, Joanne M. Heward, Hitomi Hiratani, Suh-Hang Hank Juo, Lidia Karabon, Shigehiro Katayama, Susumu Kurihara, Rue-Tsuan Liu, Ikuyo Miyake, Gholam-Hossein R. Omrani, Edyta Pawlak, Matsuo Taniyama, Teruaki Tozaki, John P. A. Ioannidis

Abstract

Cytotoxic T-lymphocyte associated antigen 4 (CTLA-4) polymorphisms have been widely examined for their associations with autoimmune thyroid diseases [Graves' disease (GD) and Hashimoto thyroiditis (HT)], but their relative population effect remains unclear.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
Portugal 1 1%
Greece 1 1%
Slovakia 1 1%
Unknown 81 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 20%
Other 12 14%
Student > Master 8 9%
Professor > Associate Professor 6 7%
Student > Ph. D. Student 5 6%
Other 15 18%
Unknown 22 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 28%
Medicine and Dentistry 18 21%
Biochemistry, Genetics and Molecular Biology 8 9%
Psychology 3 4%
Immunology and Microbiology 2 2%
Other 9 11%
Unknown 21 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 August 2020.
All research outputs
#8,675,798
of 25,711,518 outputs
Outputs from JCEM
#6,590
of 15,520 outputs
Outputs of similar age
#30,682
of 86,441 outputs
Outputs of similar age from JCEM
#38
of 88 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 28th percentile – i.e., 28% 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 86,441 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.