Title |
Toward a classification of medications for sleep and circadian rhythm disorders
|
---|---|
Published in |
Nature and science of sleep, December 2013
|
DOI | 10.2147/nss.s55679 |
Pubmed ID | |
Authors |
Christopher Ontiveros, Michael Thorpy, Thomas Roth |
Abstract |
While some systems classify medications according to therapeutic class, others are based on the mechanism of action of the drugs. The two main classifications of medications used to treat patients in the United States are those of the United States Pharmacopeia and US Food and Drug Administration, and they vary in their organization of the medication categories. Here we propose a taxonomy for medications used to treat sleep and circadian rhythm disorders based on symptoms and disorders. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 4% |
Unknown | 22 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 17% |
Other | 3 | 13% |
Student > Bachelor | 3 | 13% |
Student > Ph. D. Student | 2 | 9% |
Student > Master | 2 | 9% |
Other | 4 | 17% |
Unknown | 5 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 4 | 17% |
Nursing and Health Professions | 3 | 13% |
Neuroscience | 3 | 13% |
Agricultural and Biological Sciences | 2 | 9% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Other | 4 | 17% |
Unknown | 6 | 26% |
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 09 December 2013.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from Nature and science of sleep
#442
of 629 outputs
Outputs of similar age
#205,371
of 320,962 outputs
Outputs of similar age from Nature and science of sleep
#3
of 4 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 629 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one is in the 20th percentile – i.e., 20% 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 320,962 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.