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Two novel UPLC methods utilizing two different analytical columns and different detection approaches for the simultaneous analysis of velpatasvir and sofosbuvir: application to their co-formulated…

Overview of attention for article published in BMC Chemistry, September 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Two novel UPLC methods utilizing two different analytical columns and different detection approaches for the simultaneous analysis of velpatasvir and sofosbuvir: application to their co-formulated tablet
Published in
BMC Chemistry, September 2019
DOI 10.1186/s13065-019-0635-2
Pubmed ID
Authors

Moustapha Eid Moustapha, Rania Mohamed El-Gamal, Fathalla Fathalla Belal

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Professor 3 25%
Researcher 2 17%
Student > Master 2 17%
Student > Ph. D. Student 2 17%
Student > Doctoral Student 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 3 25%
Chemistry 3 25%
Computer Science 1 8%
Medicine and Dentistry 1 8%
Social Sciences 1 8%
Other 0 0%
Unknown 3 25%

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 23 October 2019.
All research outputs
#12,767,131
of 16,073,105 outputs
Outputs from BMC Chemistry
#30
of 60 outputs
Outputs of similar age
#241,462
of 329,618 outputs
Outputs of similar age from BMC Chemistry
#18
of 41 outputs
Altmetric has tracked 16,073,105 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 60 research outputs from this source. They receive a mean Attention Score of 1.1. This one is in the 36th percentile – i.e., 36% 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 329,618 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.