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Clinical Utility of Thiopurine S-Methyltransferase Genotyping

Overview of attention for article published in American Journal of PharmacoGenomics, August 2012
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10 Mendeley
Title
Clinical Utility of Thiopurine S-Methyltransferase Genotyping
Published in
American Journal of PharmacoGenomics, August 2012
DOI 10.2165/00129785-200404010-00001
Pubmed ID
Authors

Hèctor Corominas, Montserrat Baiget

Abstract

Thiopurine S-methyltransferase (TPMT) is a cytosolic enzyme that plays a major role in the metabolism of thiopurine drugs such as mercaptopurine and azathioprine. The interindividual differences in response to thiopurine administration is in part due to the presence of genetic polymorphisms in the gene that regulates TPMT activity. TPMT genotype correlates well with the in vivo enzyme activity within erythrocytes. Patients with genetically determined decreased TPMT activity develop severe myelosuppression when treated with standard doses of thiopurine drugs because an excess of thioguanine nucleotides accumulates in hematopoietic tissues. TPMT genotyping provides clinicians with a reliable method for identifying TPMT-deficient patients who can benefit from low doses of thiopurine drugs in order to reduce the risk of developing adverse effects. Moreover, the administration of higher doses of the drug could improve therapeutic response in patients in whom the TPMT genotyping demonstrates the absence of mutated alleles.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Doctoral Student 2 20%
Other 1 10%
Student > Bachelor 1 10%
Professor > Associate Professor 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 4 40%
Medicine and Dentistry 2 20%
Agricultural and Biological Sciences 1 10%
Unknown 3 30%
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 21 December 2007.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from American Journal of PharmacoGenomics
#25
of 58 outputs
Outputs of similar age
#63,543
of 186,126 outputs
Outputs of similar age from American Journal of PharmacoGenomics
#25
of 58 outputs
Altmetric has tracked 25,371,288 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 58 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 5th percentile – i.e., 5% 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 186,126 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.