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Application of smart spectrophotometric methods and artificial neural network for the simultaneous quantitation of olmesartan medoxamil, amlodipine besylate and hydrochlorothiazide in their combined…

Overview of attention for article published in BMC Chemistry, February 2013
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Title
Application of smart spectrophotometric methods and artificial neural network for the simultaneous quantitation of olmesartan medoxamil, amlodipine besylate and hydrochlorothiazide in their combined pharmaceutical dosage form
Published in
BMC Chemistry, February 2013
DOI 10.1186/1752-153x-7-22
Pubmed ID
Authors

Hany W Darwish

Abstract

New, simple and specific spectrophotometric methods and artificial neural network (ANN) were developed and validated in accordance with ICH guidelines for the simultaneous estimation of Olmesartan (OLM), Amlodipine (AML), and Hydrochlorothiazide (HCT) in commercial tablets.

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The data shown below were collected from the profile of 1 X user 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Egypt 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 23%
Student > Ph. D. Student 5 19%
Student > Master 3 12%
Professor > Associate Professor 2 8%
Student > Bachelor 2 8%
Other 3 12%
Unknown 5 19%
Readers by discipline Count As %
Chemistry 7 27%
Pharmacology, Toxicology and Pharmaceutical Science 3 12%
Social Sciences 2 8%
Medicine and Dentistry 2 8%
Linguistics 1 4%
Other 4 15%
Unknown 7 27%