| Title |
Handwritten Hangul recognition using deep convolutional neural networks
|
|---|---|
| Published in |
International Journal on Document Analysis and Recognition (IJDAR), September 2014
|
| DOI | 10.1007/s10032-014-0229-4 |
| Authors |
In-Jung Kim, Xiaohui Xie |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | <1% |
| Unknown | 112 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 23 | 20% |
| Student > Ph. D. Student | 15 | 13% |
| Researcher | 7 | 6% |
| Student > Bachelor | 6 | 5% |
| Lecturer | 6 | 5% |
| Other | 19 | 17% |
| Unknown | 37 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 52 | 46% |
| Engineering | 13 | 12% |
| Agricultural and Biological Sciences | 2 | 2% |
| Unspecified | 1 | <1% |
| Mathematics | 1 | <1% |
| Other | 3 | 3% |
| Unknown | 41 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 08 June 2021.
All research outputs
#4,981,964
of 23,842,189 outputs
Outputs from International Journal on Document Analysis and Recognition (IJDAR)
#24
of 161 outputs
Outputs of similar age
#50,520
of 240,754 outputs
Outputs of similar age from International Journal on Document Analysis and Recognition (IJDAR)
#1
of 2 outputs
Altmetric has tracked 23,842,189 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 161 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 69% 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 240,754 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 77% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them