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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Incremental Adaptive Learning Vector Quantization for Character Recognition with Continuous Style Adaptation
|
|---|---|
| Published in |
Cognitive Computation, August 2017
|
| DOI | 10.1007/s12559-017-9491-3 |
| Authors |
Yuan-Yuan Shen, Cheng-Lin Liu |
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 % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 17% |
| Researcher | 3 | 17% |
| Student > Postgraduate | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Professor | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 5 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 33% |
| Engineering | 3 | 17% |
| Mathematics | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Arts and Humanities | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 33% |
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 05 August 2017.
All research outputs
#18,566,650
of 22,996,001 outputs
Outputs from Cognitive Computation
#221
of 413 outputs
Outputs of similar age
#243,135
of 317,469 outputs
Outputs of similar age from Cognitive Computation
#9
of 17 outputs
Altmetric has tracked 22,996,001 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 413 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 3rd percentile – i.e., 3% 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 317,469 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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.