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Understanding the Effect of Energy Density and Formulation Factors on the Printability and Characteristics of SLS Irbesartan Tablets—Application of the Decision Tree Model

Overview of attention for article published in Pharmaceutics, November 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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1 X user

Readers on

mendeley
29 Mendeley
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Title
Understanding the Effect of Energy Density and Formulation Factors on the Printability and Characteristics of SLS Irbesartan Tablets—Application of the Decision Tree Model
Published in
Pharmaceutics, November 2021
DOI 10.3390/pharmaceutics13111969
Pubmed ID
Authors

Marijana Madžarević, Đorđe Medarević, Stefan Pavlović, Branka Ivković, Jelena Đuriš, Svetlana Ibrić

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

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Student > Bachelor 4 14%
Student > Master 4 14%
Professor 1 3%
Student > Doctoral Student 1 3%
Other 1 3%
Unknown 13 45%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 6 21%
Chemical Engineering 3 10%
Engineering 3 10%
Nursing and Health Professions 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 7%
Unknown 12 41%
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 24 November 2021.
All research outputs
#15,686,478
of 23,310,485 outputs
Outputs from Pharmaceutics
#2,361
of 5,422 outputs
Outputs of similar age
#283,559
of 509,851 outputs
Outputs of similar age from Pharmaceutics
#193
of 486 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,422 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 47th percentile – i.e., 47% 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 509,851 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 486 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.