| Title |
A Theoretical Basis for a Biopharmaceutic Drug Classification: The Correlation of in Vitro Drug Product Dissolution and in Vivo Bioavailability
|
|---|---|
| Published in |
Pharmaceutical Research, March 1995
|
| DOI | 10.1023/a:1016212804288 |
| Pubmed ID | |
| Authors |
Gordon L. Amidon, Hans Lennernäs, Vinod P. Shah, John R. Crison |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 40% |
| United States | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,677 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | <1% |
| United States | 5 | <1% |
| Germany | 4 | <1% |
| India | 4 | <1% |
| Ireland | 4 | <1% |
| France | 3 | <1% |
| Czechia | 3 | <1% |
| Netherlands | 2 | <1% |
| Canada | 2 | <1% |
| Other | 13 | <1% |
| Unknown | 2631 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 432 | 16% |
| Student > Master | 387 | 14% |
| Student > Bachelor | 371 | 14% |
| Researcher | 211 | 8% |
| Student > Doctoral Student | 117 | 4% |
| Other | 359 | 13% |
| Unknown | 800 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 659 | 25% |
| Chemistry | 373 | 14% |
| Medicine and Dentistry | 187 | 7% |
| Agricultural and Biological Sciences | 122 | 5% |
| Engineering | 96 | 4% |
| Other | 366 | 14% |
| Unknown | 874 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 29 February 2024.
All research outputs
#1,279,460
of 26,017,215 outputs
Outputs from Pharmaceutical Research
#29
of 3,134 outputs
Outputs of similar age
#287
of 23,991 outputs
Outputs of similar age from Pharmaceutical Research
#1
of 12 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,134 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 98% 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 23,991 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 12 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 91% of its contemporaries.