| Title |
The recent excitement about neural networks
|
|---|---|
| Published in |
Nature, January 1989
|
| DOI | 10.1038/337129a0 |
| Pubmed ID | |
| Authors |
Francis Crick |
| Abstract |
The remarkable properties of some recent computer algorithms for neural networks seemed to promise a fresh approach to understanding the computational properties of the brain. Unfortunately most of these neural nets are unrealistic in important respects. |
X Demographics
The data shown below were collected from the profiles of 37 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 | 9 | 24% |
| United Kingdom | 3 | 8% |
| France | 2 | 5% |
| Netherlands | 2 | 5% |
| Canada | 2 | 5% |
| Mexico | 1 | 3% |
| Switzerland | 1 | 3% |
| Ukraine | 1 | 3% |
| Singapore | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 13 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 62% |
| Scientists | 14 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 317 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 4% |
| Netherlands | 3 | <1% |
| Canada | 3 | <1% |
| United Kingdom | 3 | <1% |
| France | 2 | <1% |
| Germany | 2 | <1% |
| Italy | 1 | <1% |
| South Africa | 1 | <1% |
| Kenya | 1 | <1% |
| Other | 4 | 1% |
| Unknown | 285 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 83 | 26% |
| Student > Master | 38 | 12% |
| Researcher | 37 | 12% |
| Professor | 35 | 11% |
| Student > Bachelor | 28 | 9% |
| Other | 44 | 14% |
| Unknown | 52 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 57 | 18% |
| Neuroscience | 56 | 18% |
| Agricultural and Biological Sciences | 46 | 15% |
| Psychology | 30 | 9% |
| Engineering | 21 | 7% |
| Other | 41 | 13% |
| Unknown | 66 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 44. 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 11 September 2023.
All research outputs
#957,046
of 25,761,363 outputs
Outputs from Nature
#31,336
of 98,680 outputs
Outputs of similar age
#279
of 54,341 outputs
Outputs of similar age from Nature
#4
of 159 outputs
Altmetric has tracked 25,761,363 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,680 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.7. This one has gotten more attention than average, scoring higher than 68% 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 54,341 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 159 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 97% of its contemporaries.