| Title |
Valuation method by regression analysis on real royalty-related data by using multiple input descriptors in royalty negotiations in Life Science area-focused on anticancer therapies
|
|---|---|
| Published in |
Journal of Open Innovation: Technology, Market, and Complexity, December 2016
|
| DOI | 10.1186/s40852-016-0047-7 |
| Authors |
Jeong Hee Lee, Bae Khee-Su, Joon Woo Lee, Youngyong In, Taehoon Kwon, Wangwoo Lee |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 15% |
| Unspecified | 1 | 8% |
| Other | 1 | 8% |
| Professor | 1 | 8% |
| Lecturer | 1 | 8% |
| Other | 2 | 15% |
| Unknown | 5 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 3 | 23% |
| Business, Management and Accounting | 2 | 15% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Unspecified | 1 | 8% |
| Chemistry | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 5 | 38% |
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 09 April 2018.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from Journal of Open Innovation: Technology, Market, and Complexity
#207
of 299 outputs
Outputs of similar age
#297,832
of 416,449 outputs
Outputs of similar age from Journal of Open Innovation: Technology, Market, and Complexity
#3
of 5 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 299 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 30th percentile – i.e., 30% 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 416,449 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
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 2 of them.