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Population Pharmacokinetic Modelling for Nifedipine to Evaluate the Effect of Parathyroid Hormone on CYP3A in Patients with Chronic Kidney Disease

Overview of attention for article published in Drug Design, Development and Therapy, July 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

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1 Dimensions

Readers on

mendeley
1 Mendeley
Title
Population Pharmacokinetic Modelling for Nifedipine to Evaluate the Effect of Parathyroid Hormone on CYP3A in Patients with Chronic Kidney Disease
Published in
Drug Design, Development and Therapy, July 2022
DOI 10.2147/dddt.s362607
Pubmed ID
Authors

Chengxiao Fu, Qi Pei, Wu Liang, Bo Yang, Wei Li, Jun Liu, Hongyi Tan, Chengxian Guo, Hao Zhang, Guoping Yang

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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%
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 13 July 2022.
All research outputs
#20,930,935
of 25,707,225 outputs
Outputs from Drug Design, Development and Therapy
#1,454
of 2,278 outputs
Outputs of similar age
#329,619
of 441,460 outputs
Outputs of similar age from Drug Design, Development and Therapy
#28
of 51 outputs
Altmetric has tracked 25,707,225 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 2,278 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 22nd percentile – i.e., 22% 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 441,460 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.