| Title |
Application of Bayesian Optimization for Pharmaceutical Product Development
|
|---|---|
| Published in |
Journal of Pharmaceutical Innovation, March 2019
|
| DOI | 10.1007/s12247-019-09382-8 |
| Authors |
Syusuke Sano, Tadashi Kadowaki, Koji Tsuda, Susumu Kimura |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 22% |
| Czechia | 1 | 11% |
| Australia | 1 | 11% |
| United States | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 12% |
| Researcher | 9 | 12% |
| Student > Ph. D. Student | 9 | 12% |
| Student > Bachelor | 4 | 5% |
| Student > Doctoral Student | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 32 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 15% |
| Chemical Engineering | 8 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 9% |
| Chemistry | 3 | 4% |
| Computer Science | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 34 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 12 March 2019.
All research outputs
#5,661,090
of 23,577,761 outputs
Outputs from Journal of Pharmaceutical Innovation
#16
of 77 outputs
Outputs of similar age
#104,210
of 352,876 outputs
Outputs of similar age from Journal of Pharmaceutical Innovation
#2
of 5 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 77 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 79% 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 352,876 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.