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Leprosy as a genetic disease

Overview of attention for article published in Mammalian Genome, October 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 1,123)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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2 news outlets
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1 X user

Citations

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97 Dimensions

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189 Mendeley
Title
Leprosy as a genetic disease
Published in
Mammalian Genome, October 2010
DOI 10.1007/s00335-010-9287-1
Pubmed ID
Authors

Andrea Alter, Audrey Grant, Laurent Abel, Alexandre Alcaïs, Erwin Schurr

Abstract

Leprosy (Hansen's disease) is a human infectious disease whose etiological agent, Mycobacterium leprae, was identified by G. H. A. Hansen in the 19th century. Despite the high efficacy of multidrug therapy (<0.1% annual relapse rate), transmission is persistent. In 2008, approximately 250,000 new cases were reported to the World Health Organization. Clinically, leprosy presents as either the paucibacillary (1-5 lesions) or the multibacillary (>5 lesions) subtype, highly reflective of a Th1 (cell-mediated) or Th2 (humoral) host immune response, respectively. Subsequent to Mycobacterium leprae exposure, epidemiological studies (e.g., twin studies and complex segregation analyses) maintain the importance of host genetics in susceptibility to leprosy. The results of genome-wide analyses (linkage and association) and candidate gene studies suggest an independent genetic control over both susceptibility to leprosy per se and development of clinical subtype. Moreover, the emergence of a shared genetic background between leprosy and several inflammatory/autoimmune diseases suggests that leprosy is a suitable model for studying the genetic architecture and subsequent pathogenesis of both infectious and inflammatory/autoimmune diseases. We provide the example of NOD2 (Crohn's disease gene) and LTA (myocardial infarction gene) and the implication of a common genetic risk factor between these two diseases and leprosy. The value of leprosy as a model disease therefore extends far beyond this ancient disease to common afflictions of the 21st century.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 6 3%
United Kingdom 3 2%
United States 2 1%
Netherlands 1 <1%
India 1 <1%
Germany 1 <1%
Unknown 175 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 22%
Researcher 28 15%
Student > Ph. D. Student 22 12%
Student > Bachelor 21 11%
Student > Postgraduate 16 8%
Other 41 22%
Unknown 20 11%
Readers by discipline Count As %
Medicine and Dentistry 59 31%
Agricultural and Biological Sciences 46 24%
Biochemistry, Genetics and Molecular Biology 22 12%
Nursing and Health Professions 10 5%
Immunology and Microbiology 9 5%
Other 17 9%
Unknown 26 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 28 June 2018.
All research outputs
#1,684,267
of 22,651,245 outputs
Outputs from Mammalian Genome
#14
of 1,123 outputs
Outputs of similar age
#6,183
of 99,130 outputs
Outputs of similar age from Mammalian Genome
#1
of 7 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,123 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 98% 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 99,130 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 93% of its contemporaries.
We're also able to compare this research output to 7 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