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Development of a multivariate model with desirability-based optimization for simultaneous determination of five co-administrated drugs for the management of COVID-19 infection in their dosage forms…

Overview of attention for article published in Journal of Liquid Chromatography & Related Technologies, January 2023
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Development of a multivariate model with desirability-based optimization for simultaneous determination of five co-administrated drugs for the management of COVID-19 infection in their dosage forms via validated RP-HPLC method
Published in
Journal of Liquid Chromatography & Related Technologies, January 2023
DOI 10.1080/10826076.2023.2168691
Authors

Sonia T. Hassib, Marwa A. Moffid, Noha A. Aly, Eman A. Mostafa

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 33%
Unknown 2 67%
Readers by discipline Count As %
Chemistry 2 67%
Unknown 1 33%
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
#23,505,443
of 26,171,302 outputs
Outputs from Journal of Liquid Chromatography & Related Technologies
#573
of 628 outputs
Outputs of similar age
#416,824
of 485,053 outputs
Outputs of similar age from Journal of Liquid Chromatography & Related Technologies
#2
of 2 outputs
Altmetric has tracked 26,171,302 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 628 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% 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 485,053 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.