↓ Skip to main content

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 Chemistry Central Journal, February 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
25 Mendeley
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
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
Chemistry Central Journal, 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.

X Demographics

X Demographics

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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Egypt 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 24%
Student > Ph. D. Student 5 20%
Student > Master 3 12%
Professor > Associate Professor 2 8%
Student > Bachelor 2 8%
Other 2 8%
Unknown 5 20%
Readers by discipline Count As %
Chemistry 7 28%
Pharmacology, Toxicology and Pharmaceutical Science 3 12%
Medicine and Dentistry 2 8%
Social Sciences 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 3 12%
Unknown 7 28%
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 05 February 2013.
All research outputs
#21,155,664
of 25,986,827 outputs
Outputs from Chemistry Central Journal
#1
of 1 outputs
Outputs of similar age
#232,753
of 293,977 outputs
Outputs of similar age from Chemistry Central Journal
#4
of 6 outputs
Altmetric has tracked 25,986,827 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.5. This one scored the same or higher as 0 of them.
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 293,977 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.