| Title |
Computational Models to Assign Biopharmaceutics Drug Disposition Classification from Molecular Structure
|
|---|---|
| Published in |
Pharmaceutical Research, September 2007
|
| DOI | 10.1007/s11095-007-9435-9 |
| Pubmed ID | |
| Authors |
Akash Khandelwal, Praveen M. Bahadduri, Cheng Chang, James E. Polli, Peter W. Swaan, Sean Ekins |
| Abstract |
We applied in silico methods to automatically classify drugs according to the Biopharmaceutics Drug Disposition Classification System (BDDCS). |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 1% |
| Romania | 1 | 1% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 65 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 30% |
| Student > Ph. D. Student | 10 | 14% |
| Other | 5 | 7% |
| Student > Postgraduate | 5 | 7% |
| Professor > Associate Professor | 5 | 7% |
| Other | 13 | 19% |
| Unknown | 11 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 21% |
| Agricultural and Biological Sciences | 10 | 14% |
| Chemistry | 9 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 13% |
| Materials Science | 2 | 3% |
| Other | 10 | 14% |
| Unknown | 15 | 21% |
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 25 January 2008.
All research outputs
#15,240,835
of 22,660,862 outputs
Outputs from Pharmaceutical Research
#2,232
of 2,846 outputs
Outputs of similar age
#59,928
of 69,887 outputs
Outputs of similar age from Pharmaceutical Research
#34
of 37 outputs
Altmetric has tracked 22,660,862 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 2,846 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 69,887 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 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.