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How do autoimmune diseases cluster in families? A systematic review and meta-analysis

Overview of attention for article published in BMC Medicine, March 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
43 tweeters
facebook
7 Facebook pages

Citations

dimensions_citation
130 Dimensions

Readers on

mendeley
272 Mendeley
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Title
How do autoimmune diseases cluster in families? A systematic review and meta-analysis
Published in
BMC Medicine, March 2013
DOI 10.1186/1741-7015-11-73
Pubmed ID
Authors

Jorge Cárdenas-Roldán, Adriana Rojas-Villarraga, Juan-Manuel Anaya

Abstract

A primary characteristic of complex genetic diseases is that affected individuals tend to cluster in families (that is, familial aggregation). Aggregation of the same autoimmune condition, also referred to as familial autoimmune disease, has been extensively evaluated. However, aggregation of diverse autoimmune diseases, also known as familial autoimmunity, has been overlooked. Therefore, a systematic review and meta-analysis were performed aimed at gathering evidence about this topic.

Twitter Demographics

The data shown below were collected from the profiles of 43 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 272 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 6 2%
Brazil 4 1%
France 1 <1%
Netherlands 1 <1%
Canada 1 <1%
Mexico 1 <1%
Thailand 1 <1%
United States 1 <1%
Unknown 256 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 50 18%
Researcher 45 17%
Student > Ph. D. Student 36 13%
Student > Master 34 13%
Student > Postgraduate 19 7%
Other 54 20%
Unknown 34 13%
Readers by discipline Count As %
Medicine and Dentistry 112 41%
Agricultural and Biological Sciences 41 15%
Biochemistry, Genetics and Molecular Biology 21 8%
Nursing and Health Professions 16 6%
Immunology and Microbiology 9 3%
Other 24 9%
Unknown 49 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 61. 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 06 February 2020.
All research outputs
#470,668
of 19,195,752 outputs
Outputs from BMC Medicine
#369
of 2,868 outputs
Outputs of similar age
#4,097
of 199,076 outputs
Outputs of similar age from BMC Medicine
#1
of 1 outputs
Altmetric has tracked 19,195,752 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,868 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. This one has done well, scoring higher than 87% 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 199,076 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 1 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