| Title |
Best Practices for the Development, Scale-up, and Post-approval Change Control of IR and MR Dosage Forms in the Current Quality-by-Design Paradigm
|
|---|---|
| Published in |
AAPS PharmSciTech, March 2014
|
| DOI | 10.1208/s12249-014-0087-x |
| Pubmed ID | |
| Authors |
Glenn A. Van Buskirk, Satish Asotra, Christopher Balducci, Prabir Basu, Gerald DiDonato, Angelica Dorantes, W. Mark Eickhoff, Tapash Ghosh, Mario A. González, Theresa Henry, Matthew Howard, Jason Kamm, Steven Laurenz, Ryan MacKenzie, Richard Mannion, Patrick K. Noonan, Terrance Ocheltree, Umesh Pai, Richard P. Poska, Michael L. Putnam, Ramani R. Raghavan, Colleen Ruegger, Eric Sánchez, Vinod P. Shah, Zezhi Jesse Shao, Russell Somma, Vijay Tammara, Avinash G. Thombre, Bruce Thompson, Robert J. Timko, Satyam Upadrashta, Sivakumar Vaithiyalingam |
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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 115 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 21% |
| Student > Master | 16 | 14% |
| Student > Ph. D. Student | 12 | 10% |
| Student > Bachelor | 8 | 7% |
| Other | 7 | 6% |
| Other | 15 | 13% |
| Unknown | 35 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 25 | 21% |
| Chemistry | 12 | 10% |
| Medicine and Dentistry | 11 | 9% |
| Agricultural and Biological Sciences | 10 | 8% |
| Chemical Engineering | 5 | 4% |
| Other | 14 | 12% |
| Unknown | 41 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 05 December 2019.
All research outputs
#2,810,807
of 22,830,751 outputs
Outputs from AAPS PharmSciTech
#62
of 1,468 outputs
Outputs of similar age
#29,499
of 222,202 outputs
Outputs of similar age from AAPS PharmSciTech
#2
of 33 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,468 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 95% 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 222,202 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 86% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.