| Title |
A Bio-Inspired Incremental Learning Architecture for Applied Perceptual Problems
|
|---|---|
| Published in |
Cognitive Computation, March 2016
|
| DOI | 10.1007/s12559-016-9389-5 |
| Authors |
Alexander Gepperth, Cem Karaoguz |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Netherlands | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 147 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 24% |
| Student > Master | 20 | 14% |
| Researcher | 19 | 13% |
| Student > Bachelor | 17 | 12% |
| Student > Doctoral Student | 6 | 4% |
| Other | 16 | 11% |
| Unknown | 33 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 68 | 46% |
| Engineering | 17 | 12% |
| Neuroscience | 6 | 4% |
| Agricultural and Biological Sciences | 2 | 1% |
| Psychology | 2 | 1% |
| Other | 10 | 7% |
| Unknown | 42 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 2021.
All research outputs
#5,067,849
of 24,998,746 outputs
Outputs from Cognitive Computation
#27
of 436 outputs
Outputs of similar age
#72,623
of 306,020 outputs
Outputs of similar age from Cognitive Computation
#1
of 26 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 436 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 94% 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 306,020 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 76% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.