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A framework for quantifying the influence of adherence and dose individualization

Overview of attention for article published in Clinical Pharmacology & Therapeutics, November 2015
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Mentioned by

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1 policy source
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2 X users

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23 Mendeley
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Article details
Title
A framework for quantifying the influence of adherence and dose individualization
Published in
Clinical Pharmacology & Therapeutics, November 2015
DOI 10.1002/cpt.268
Pubmed ID
Authors
Abstract

A failure to accommodate for a patient's imperfect adherence may result in therapeutic failure. Similarly, failure to accommodate a patient's individual needs via dose individualization may also result in poor patient outcomes. The property of a drug that signifies the likelihood of therapeutic success to imperfect adherence is termed "forgiveness." We introduce an extension to this concept as: (1) a priori forgiveness (forgiveness when dose individualization is not considered) and (2) a posteriori forgiveness (forgiveness when considering dose individualization). We illustrate cases when adherence is of primary importance and in which dose individualization is of primary importance. The concept of a priori forgiveness and a posteriori forgiveness provides a quantitative measure that allows the influence of adherence to be disentangled from dose individualization and could be used to provide clear guidelines about the relative importance of each in clinical practice.

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X Demographics

X Demographics

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

Mendeley demographics

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
France 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Professor 3 13%
Other 2 9%
Lecturer 2 9%
Researcher 1 4%
Other 1 4%
Unknown 8 35%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 6 26%
Pharmacology, Toxicology and Pharmaceutical Science 5 22%
Mathematics 1 4%
Computer Science 1 4%
Unknown 10 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 March 2018.
All research outputs
#10,121,021
of 33,779,198 outputs
Outputs from Clinical Pharmacology & Therapeutics
#2,364
of 5,705 outputs
Outputs of similar age
#118,467
of 438,929 outputs
Outputs of similar age from Clinical Pharmacology & Therapeutics
#23
of 41 outputs
Altmetric has tracked 33,779,198 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 5,705 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has gotten more attention than average, scoring higher than 58% of its peers.
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 438,929 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
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 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.