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Association of HLA class I with severe acute respiratory syndrome coronavirus infection

Overview of attention for article published in BMC Medical Genomics, September 2003
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 2,457)
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news
33 news outlets
blogs
2 blogs
twitter
58 X users
patent
2 patents

Citations

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272 Dimensions

Readers on

mendeley
260 Mendeley
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Title
Association of HLA class I with severe acute respiratory syndrome coronavirus infection
Published in
BMC Medical Genomics, September 2003
DOI 10.1186/1471-2350-4-9
Pubmed ID
Authors

Marie Lin, Hsiang-Kuang Tseng, Jean A Trejaut, Hui-Lin Lee, Jun-Hun Loo, Chen-Chung Chu, Pei-Jan Chen, Ying-Wen Su, Ken Hong Lim, Zen-Uong Tsai, Ruey-Yi Lin, Ruey-Shiung Lin, Chun-Hsiung Huang

Abstract

The human leukocyte antigen (HLA) system is widely used as a strategy in the search for the etiology of infectious diseases and autoimmune disorders. During the Taiwan epidemic of severe acute respiratory syndrome (SARS), many health care workers were infected. In an effort to establish a screening program for high risk personal, the distribution of HLA class I and II alleles in case and control groups was examined for the presence of an association to a genetic susceptibly or resistance to SARS coronavirus infection. HLA-class I and II allele typing by PCR-SSOP was performed on 37 cases of probable SARS, 28 fever patients excluded later as probable SARS, and 101 non-infected health care workers who were exposed or possibly exposed to SARS coronavirus. An additional control set of 190 normal healthy unrelated Taiwanese was also used in the analysis. Woolf and Haldane Odds ratio (OR) and corrected P-value (Pc) obtained from two tails Fisher exact test were used to show susceptibility of HLA class I or class II alleles with coronavirus infection. At first, when analyzing infected SARS patients and high risk health care workers groups, HLA-B*4601 (OR = 2.08, P = 0.04, Pc = n.s.) and HLA-B*5401 (OR = 5.44, P = 0.02, Pc = n.s.) appeared as the most probable elements that may be favoring SARS coronavirus infection. After selecting only a "severe cases" patient group from the infected "probable SARS" patient group and comparing them with the high risk health care workers group, the severity of SARS was shown to be significantly associated with HLA-B*4601 (P = 0.0008 or Pc = 0.0279). Densely populated regions with genetically related southern Asian populations appear to be more affected by the spreading of SARS infection. Up until recently, no probable SARS patients were reported among Taiwan indigenous peoples who are genetically distinct from the Taiwanese general population, have no HLA-B* 4601 and have high frequency of HLA-B* 1301. While increase of HLA-B* 4601 allele frequency was observed in the "Probable SARS infected" patient group, a further significant increase of the allele was seen in the "Severe cases" patient group. These results appeared to indicate association of HLA-B* 4601 with the severity of SARS infection in Asian populations. Independent studies are needed to test these results.

X Demographics

X Demographics

The data shown below were collected from the profiles of 58 X users 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 260 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 259 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 15%
Student > Master 30 12%
Student > Bachelor 29 11%
Student > Ph. D. Student 26 10%
Professor 15 6%
Other 53 20%
Unknown 69 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 46 18%
Medicine and Dentistry 33 13%
Agricultural and Biological Sciences 32 12%
Immunology and Microbiology 25 10%
Nursing and Health Professions 6 2%
Other 24 9%
Unknown 94 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 315. 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 22 March 2024.
All research outputs
#109,879
of 25,782,229 outputs
Outputs from BMC Medical Genomics
#2
of 2,457 outputs
Outputs of similar age
#69
of 54,468 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 2 outputs
Altmetric has tracked 25,782,229 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,457 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 99% 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 54,468 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 99% of its contemporaries.
We're also able to compare this research output to 2 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