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Modeling Sleep Data for a New Drug in Development using Markov Mixed-Effects Models

Overview of attention for article published in Pharmaceutical Research, June 2011
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

wikipedia
3 Wikipedia pages

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
36 Mendeley
citeulike
1 CiteULike
Title
Modeling Sleep Data for a New Drug in Development using Markov Mixed-Effects Models
Published in
Pharmaceutical Research, June 2011
DOI 10.1007/s11095-011-0490-x
Pubmed ID
Authors

Maria C. Kjellsson, Daniele Ouellet, Brian Corrigan, Mats O. Karlsson

Abstract

To characterize the time-course of sleep in insomnia patients as well as placebo and concentration-effect relationships of two hypnotic compounds, PD 0200390 and zolpidem, using an accelerated model-building strategy based on mixed-effects Markov models.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Researcher 8 22%
Professor > Associate Professor 3 8%
Student > Master 3 8%
Lecturer > Senior Lecturer 2 6%
Other 2 6%
Unknown 10 28%
Readers by discipline Count As %
Medicine and Dentistry 10 28%
Psychology 4 11%
Agricultural and Biological Sciences 3 8%
Chemistry 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 5 14%
Unknown 9 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 October 2014.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from Pharmaceutical Research
#1,016
of 2,856 outputs
Outputs of similar age
#41,290
of 114,135 outputs
Outputs of similar age from Pharmaceutical Research
#20
of 41 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,856 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 114,135 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% 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 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.