| Title |
Simulating the drug discovery pipeline: a Monte Carlo approach
|
|---|---|
| Published in |
Journal of Cheminformatics, November 2012
|
| DOI | 10.1186/1758-2946-4-32 |
| Pubmed ID | |
| Authors |
Melvin J Yu |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 25% |
| Germany | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Algeria | 1 | 3% |
| China | 1 | 3% |
| Czechia | 1 | 3% |
| Unknown | 34 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 30% |
| Researcher | 7 | 19% |
| Other | 5 | 14% |
| Student > Master | 3 | 8% |
| Lecturer | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 16% |
| Chemistry | 5 | 14% |
| Medicine and Dentistry | 4 | 11% |
| Engineering | 4 | 11% |
| Computer Science | 3 | 8% |
| Other | 10 | 27% |
| Unknown | 5 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 06 December 2012.
All research outputs
#13,024,921
of 22,687,320 outputs
Outputs from Journal of Cheminformatics
#634
of 828 outputs
Outputs of similar age
#152,871
of 277,168 outputs
Outputs of similar age from Journal of Cheminformatics
#12
of 15 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 828 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 23rd percentile – i.e., 23% 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 277,168 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.