| Title |
Using the comprehensive patent citation network (CPC) to evaluate patent value
|
|---|---|
| Published in |
Scientometrics, October 2015
|
| DOI | 10.1007/s11192-015-1763-7 |
| Authors |
Guan-Can Yang, Gang Li, Chun-Ya Li, Yun-Hua Zhao, Jing Zhang, Tong Liu, Dar-Zen Chen, Mu-Hsuan Huang |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 61 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 17% |
| Researcher | 11 | 17% |
| Student > Master | 6 | 10% |
| Other | 5 | 8% |
| Student > Doctoral Student | 5 | 8% |
| Other | 11 | 17% |
| Unknown | 14 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 14 | 22% |
| Computer Science | 10 | 16% |
| Business, Management and Accounting | 8 | 13% |
| Engineering | 5 | 8% |
| Economics, Econometrics and Finance | 4 | 6% |
| Other | 8 | 13% |
| Unknown | 14 | 22% |
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 26 December 2015.
All research outputs
#17,775,656
of 22,830,751 outputs
Outputs from Scientometrics
#2,223
of 2,681 outputs
Outputs of similar age
#187,405
of 278,190 outputs
Outputs of similar age from Scientometrics
#34
of 43 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,681 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 15th percentile – i.e., 15% 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 278,190 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.