| Title |
Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
|
|---|---|
| Published in |
Biological Cybernetics, April 1980
|
| DOI | 10.1007/bf00344251 |
| Pubmed ID | |
| Authors |
Kunihiko Fukushima |
X Demographics
The data shown below were collected from the profiles of 44 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 8 | 18% |
| United States | 8 | 18% |
| France | 2 | 5% |
| Zambia | 1 | 2% |
| Austria | 1 | 2% |
| Canada | 1 | 2% |
| Germany | 1 | 2% |
| Chile | 1 | 2% |
| Unknown | 21 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 75% |
| Scientists | 10 | 23% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 3,869 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 18 | <1% |
| United Kingdom | 13 | <1% |
| Germany | 10 | <1% |
| Japan | 7 | <1% |
| Brazil | 5 | <1% |
| France | 5 | <1% |
| Netherlands | 4 | <1% |
| Spain | 4 | <1% |
| Turkey | 3 | <1% |
| Other | 30 | <1% |
| Unknown | 3770 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 716 | 19% |
| Student > Ph. D. Student | 707 | 18% |
| Student > Bachelor | 467 | 12% |
| Researcher | 301 | 8% |
| Student > Doctoral Student | 127 | 3% |
| Other | 448 | 12% |
| Unknown | 1103 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1162 | 30% |
| Engineering | 678 | 18% |
| Agricultural and Biological Sciences | 123 | 3% |
| Neuroscience | 115 | 3% |
| Physics and Astronomy | 91 | 2% |
| Other | 466 | 12% |
| Unknown | 1234 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 90. 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 12 March 2024.
All research outputs
#488,256
of 25,934,224 outputs
Outputs from Biological Cybernetics
#2
of 684 outputs
Outputs of similar age
#18
of 6,210 outputs
Outputs of similar age from Biological Cybernetics
#1
of 2 outputs
Altmetric has tracked 25,934,224 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 684 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 99% 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 6,210 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 99% 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