↓ Skip to main content

Analysis of single-nucleotide polymorphisms (SNPs) in human CYP3A4 and CYP3A5 genes: potential implications for the metabolism of HIV drugs

Overview of attention for article published in BMC Medical Genetics, July 2014
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
43 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Analysis of single-nucleotide polymorphisms (SNPs) in human CYP3A4 and CYP3A5 genes: potential implications for the metabolism of HIV drugs
Published in
BMC Medical Genetics, July 2014
DOI 10.1186/1471-2350-15-76
Pubmed ID
Authors

Giulia Berno, Mauro Zaccarelli, Caterina Gori, Massimo Tempestilli, Andrea Antinori, Carlo Federico Perno, Leopoldo Paolo Pucillo, Roberta D’Arrigo

Abstract

Drug metabolism via the cytochrome P450 (CYP450) system has emerged as an important determinant in the occurrence of several drug interactions (adverse drug reactions, reduced pharmacological effect, drug toxicities). In particular, CYP3A4 and CYP3A5 (interacting with more than 60% of licensed drugs) exhibit the most individual variations of gene expression, mostly caused by single nucleotide polymorphisms (SNPs) within the regulatory region of the CYP3A4 and CYP3A5 genes which might affect the level of enzyme production.In this study, we sought to improve the performance of sensitive screening for CYP3A polymorphism detection in twenty HIV-1 infected patients undergoing lopinavir/ritonavir (LPV/r) monotherapy.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 28%
Student > Ph. D. Student 5 12%
Student > Postgraduate 4 9%
Student > Bachelor 4 9%
Researcher 3 7%
Other 8 19%
Unknown 7 16%
Readers by discipline Count As %
Medicine and Dentistry 11 26%
Agricultural and Biological Sciences 10 23%
Biochemistry, Genetics and Molecular Biology 7 16%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Nursing and Health Professions 2 5%
Other 4 9%
Unknown 7 16%

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 12 August 2014.
All research outputs
#12,115,108
of 21,340,745 outputs
Outputs from BMC Medical Genetics
#346
of 1,018 outputs
Outputs of similar age
#90,088
of 202,755 outputs
Outputs of similar age from BMC Medical Genetics
#1
of 1 outputs
Altmetric has tracked 21,340,745 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 64% 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 202,755 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% 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