| Title |
Implementing Quality by Design in Pharmaceutical Salt Selection: A Modeling Approach to Understanding Disproportionation
|
|---|---|
| Published in |
Pharmaceutical Research, August 2012
|
| DOI | 10.1007/s11095-012-0863-9 |
| Pubmed ID | |
| Authors |
Jeremy M. Merritt, Shekhar K. Viswanath, Gregory A. Stephenson |
| Abstract |
Salts of active pharmaceutical ingredients are often used to enhance solubility, dissolution rate, or take advantage of other improved solid-state properties. The selected form must be maintained during processing and shelf-life to ensure quality. We aimed to develop a model to quantify risk of disproportionation, where the salt dissociates back to the freebase form. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| India | 1 | 1% |
| Unknown | 91 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 24% |
| Student > Ph. D. Student | 19 | 20% |
| Other | 11 | 12% |
| Student > Master | 10 | 11% |
| Professor > Associate Professor | 3 | 3% |
| Other | 12 | 13% |
| Unknown | 16 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 30 | 32% |
| Pharmacology, Toxicology and Pharmaceutical Science | 25 | 27% |
| Engineering | 5 | 5% |
| Medicine and Dentistry | 5 | 5% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 7 | 8% |
| Unknown | 18 | 19% |
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 02 October 2012.
All research outputs
#15,251,976
of 22,679,690 outputs
Outputs from Pharmaceutical Research
#2,232
of 2,848 outputs
Outputs of similar age
#107,658
of 169,380 outputs
Outputs of similar age from Pharmaceutical Research
#22
of 23 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,848 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 14th percentile – i.e., 14% 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 169,380 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 23 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.