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Artificial neural networks in the modeling and optimization of aspirin extended release tablets with eudragit L 100 as matrix substance

Overview of attention for article published in AAPS PharmSciTech, March 2003
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Mentioned by

patent
1 patent

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
51 Mendeley
citeulike
1 CiteULike
Title
Artificial neural networks in the modeling and optimization of aspirin extended release tablets with eudragit L 100 as matrix substance
Published in
AAPS PharmSciTech, March 2003
DOI 10.1208/pt040109
Pubmed ID
Authors

Svetlana Ibrić, Milica Jovanović, Zorica Djurić, Jelena Parojčić, Slobodan D. Petrović, Ljiljana Solomun, Biljana Stupar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 2%
United Kingdom 1 2%
Colombia 1 2%
Portugal 1 2%
Unknown 47 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 16%
Professor > Associate Professor 6 12%
Student > Bachelor 6 12%
Researcher 5 10%
Student > Ph. D. Student 5 10%
Other 9 18%
Unknown 12 24%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 10 20%
Computer Science 5 10%
Engineering 5 10%
Medicine and Dentistry 4 8%
Chemical Engineering 3 6%
Other 8 16%
Unknown 16 31%
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 02 September 2008.
All research outputs
#7,558,767
of 23,057,470 outputs
Outputs from AAPS PharmSciTech
#443
of 1,474 outputs
Outputs of similar age
#17,195
of 49,958 outputs
Outputs of similar age from AAPS PharmSciTech
#2
of 3 outputs
Altmetric has tracked 23,057,470 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,474 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 45th percentile – i.e., 45% 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 49,958 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.