| Title |
Management of antipsychotic treatment discontinuation and interruptions using model-based simulations
|
|---|---|
| Published in |
Clinical Pharmacology : Advances and Applications, July 2012
|
| DOI | 10.2147/cpaa.s32735 |
| Pubmed ID | |
| Authors |
Mahesh N Samtani, John J Sheehan, Dong-Jing Fu, Bart Remmerie, Jennifer Kern Sliwa, Larry Alphs |
| Abstract |
Medication nonadherence is a well described and prevalent clinical occurrence in schizophrenia. These pharmacokinetic model-based simulations analyze predicted antipsychotic plasma concentrations in nonadherence and treatment interruption scenarios and with treatment reinitiation. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 3% |
| Unknown | 29 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 27% |
| Student > Postgraduate | 3 | 10% |
| Professor > Associate Professor | 3 | 10% |
| Student > Master | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Other | 6 | 20% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 27% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Neuroscience | 3 | 10% |
| Psychology | 3 | 10% |
| Other | 5 | 17% |
| Unknown | 4 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 September 2022.
All research outputs
#4,623,140
of 25,584,565 outputs
Outputs from Clinical Pharmacology : Advances and Applications
#46
of 179 outputs
Outputs of similar age
#30,128
of 177,038 outputs
Outputs of similar age from Clinical Pharmacology : Advances and Applications
#1
of 2 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 179 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 74% 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 177,038 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them