| Title |
A visualization tool of patent topic evolution using a growing cell structure neural network
|
|---|---|
| Published in |
Scientometrics, March 2017
|
| DOI | 10.1007/s11192-017-2361-7 |
| Authors |
Hui-Yun Sung, Hsi-Yin Yeh, Jin-Kwan Lin, Ssu-Han Chen |
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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 24% |
| Researcher | 5 | 15% |
| Student > Master | 4 | 12% |
| Librarian | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 33% |
| Business, Management and Accounting | 5 | 15% |
| Social Sciences | 3 | 9% |
| Linguistics | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 9 | 27% |
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 17 April 2017.
All research outputs
#20,413,129
of 22,963,381 outputs
Outputs from Scientometrics
#2,502
of 2,689 outputs
Outputs of similar age
#269,890
of 309,701 outputs
Outputs of similar age from Scientometrics
#66
of 77 outputs
Altmetric has tracked 22,963,381 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,689 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 1st percentile – i.e., 1% 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 309,701 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.