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Application of Machine-Learning Algorithms for Better Understanding of Tableting Properties of Lactose Co-Processed with Lipid Excipients

Overview of attention for article published in Pharmaceutics, May 2021
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1 X user

Citations

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13 Dimensions

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47 Mendeley
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Title
Application of Machine-Learning Algorithms for Better Understanding of Tableting Properties of Lactose Co-Processed with Lipid Excipients
Published in
Pharmaceutics, May 2021
DOI 10.3390/pharmaceutics13050663
Pubmed ID
Authors

Jelena Djuris, Slobodanka Cirin-Varadjan, Ivana Aleksic, Mihal Djuris, Sandra Cvijic, Svetlana Ibric

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

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 11%
Other 4 9%
Lecturer 3 6%
Researcher 3 6%
Unspecified 2 4%
Other 6 13%
Unknown 24 51%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 11 23%
Engineering 5 11%
Unspecified 2 4%
Chemical Engineering 2 4%
Chemistry 1 2%
Other 1 2%
Unknown 25 53%
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 31 January 2023.
All research outputs
#20,651,815
of 25,375,376 outputs
Outputs from Pharmaceutics
#3,934
of 6,500 outputs
Outputs of similar age
#329,785
of 435,828 outputs
Outputs of similar age from Pharmaceutics
#211
of 358 outputs
Altmetric has tracked 25,375,376 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 6,500 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 29th percentile – i.e., 29% 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 435,828 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 358 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.