| Title |
Technological novelty profile and invention’s future impact
|
|---|---|
| Published in |
EPJ Data Science, March 2016
|
| DOI | 10.1140/epjds/s13688-016-0069-1 |
| Authors |
Daniel Kim, Daniel Burkhardt Cerigo, Hawoong Jeong, Hyejin Youn |
X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 29% |
| United Kingdom | 3 | 13% |
| Korea, Republic of | 2 | 8% |
| Turkey | 1 | 4% |
| France | 1 | 4% |
| Unknown | 10 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 58% |
| Scientists | 8 | 33% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 31% |
| Researcher | 13 | 14% |
| Student > Master | 12 | 13% |
| Professor | 5 | 5% |
| Other | 5 | 5% |
| Other | 15 | 16% |
| Unknown | 14 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 17% |
| Economics, Econometrics and Finance | 10 | 11% |
| Social Sciences | 10 | 11% |
| Engineering | 8 | 9% |
| Mathematics | 7 | 8% |
| Other | 22 | 24% |
| Unknown | 20 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 02 February 2022.
All research outputs
#1,784,289
of 25,584,565 outputs
Outputs from EPJ Data Science
#151
of 451 outputs
Outputs of similar age
#28,574
of 315,235 outputs
Outputs of similar age from EPJ Data Science
#8
of 12 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 451 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.0. This one has gotten more attention than average, scoring higher than 66% 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 315,235 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.