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Molecular basis of transfusion dependent beta-thalassemia major patients in Sabah

Overview of attention for article published in Journal of Human Genetics, December 2013
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Title
Molecular basis of transfusion dependent beta-thalassemia major patients in Sabah
Published in
Journal of Human Genetics, December 2013
DOI 10.1038/jhg.2013.131
Pubmed ID
Authors

Lai Kuan Teh, Elizabeth George, Mei I Lai, Jin Ai Mary Anne Tan, Lily Wong, Patimah Ismail

Abstract

Beta-thalassemia is one of the most prevalent inherited diseases and a public health problem in Malaysia. Malaysia is geographically divided into West and East Malaysia. In Sabah, a state in East Malaysia, there are over 1000 estimated cases of β-thalassemia major patients. Accurate population frequency data of the molecular basis of β-thalassemia major are needed for planning its control in the high-risk population of Sabah. Characterization of β-globin gene defects was done in 252 transfusion dependent β-thalassemia patients incorporating few PCR techniques. The study demonstrates that β-thalassemia mutations inherited are ethnically dependent. It is important to note that 86.9% of transfusion-dependent β-thalassemia major patients in Sabah were of the indigenous population and homozygous for a single mutation. The Filipino β(0)-deletion was a unique mutation found in the indigenous population of Sabah. Mutations common in West Malaysia were found in 11 (4.3%) patients. Four rare mutations (Hb Monroe, CD 8/9, CD 123/124/125 and IVS I-2) were also found. This study is informative on the population genetics of β-thalassemia major in Sabah.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 16%
Student > Bachelor 10 14%
Student > Master 8 12%
Researcher 5 7%
Other 4 6%
Other 10 14%
Unknown 21 30%
Readers by discipline Count As %
Medicine and Dentistry 19 28%
Agricultural and Biological Sciences 9 13%
Nursing and Health Professions 7 10%
Biochemistry, Genetics and Molecular Biology 7 10%
Unspecified 1 1%
Other 4 6%
Unknown 22 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 09 October 2014.
All research outputs
#20,238,443
of 22,765,347 outputs
Outputs from Journal of Human Genetics
#1,523
of 1,652 outputs
Outputs of similar age
#266,535
of 306,939 outputs
Outputs of similar age from Journal of Human Genetics
#12
of 15 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,652 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 1st percentile – i.e., 1% 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 306,939 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.