| Title |
Net present value approaches for drug discovery
|
|---|---|
| Published in |
SpringerPlus, April 2013
|
| DOI | 10.1186/2193-1801-2-140 |
| Pubmed ID | |
| Authors |
Andreas M Svennebring, Jarl ES Wikberg |
| Abstract |
Three dedicated approaches to the calculation of the risk-adjusted net present value (rNPV) in drug discovery projects under different assumptions are suggested. The probability of finding a candidate drug suitable for clinical development and the time to the initiation of the clinical development is assumed to be flexible in contrast to the previously used models. The rNPV of the post-discovery cash flows is calculated as the probability weighted average of the rNPV at each potential time of initiation of clinical development. Practical considerations how to set probability rates, in particular during the initiation and termination of a project is discussed. |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 3% |
| Israel | 1 | 2% |
| Unknown | 63 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 24% |
| Researcher | 12 | 18% |
| Student > Ph. D. Student | 8 | 12% |
| Other | 7 | 11% |
| Student > Bachelor | 5 | 8% |
| Other | 7 | 11% |
| Unknown | 11 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 11% |
| Engineering | 7 | 11% |
| Business, Management and Accounting | 6 | 9% |
| Agricultural and Biological Sciences | 6 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 9% |
| Other | 23 | 35% |
| Unknown | 11 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 April 2019.
All research outputs
#3,998,749
of 22,703,044 outputs
Outputs from SpringerPlus
#239
of 1,852 outputs
Outputs of similar age
#34,763
of 200,164 outputs
Outputs of similar age from SpringerPlus
#16
of 137 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,852 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 86% 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 200,164 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 82% of its contemporaries.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.