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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Lessons From Deep Neural Networks for Studying the Coding Principles of Biological Neural Networks
|
|---|---|
| Published in |
Frontiers in Systems Neuroscience, January 2021
|
| DOI | 10.3389/fnsys.2020.615129 |
| Pubmed ID | |
| Authors |
Hyojin Bae, Sang Jeong Kim, Chang-Eop Kim |
X Demographics
The data shown below were collected from the profiles of 18 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 | 5 | 28% |
| Spain | 1 | 6% |
| Kenya | 1 | 6% |
| Saudi Arabia | 1 | 6% |
| Australia | 1 | 6% |
| Switzerland | 1 | 6% |
| Japan | 1 | 6% |
| Ireland | 1 | 6% |
| Unknown | 6 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 67% |
| Scientists | 4 | 22% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 16% |
| Student > Master | 4 | 16% |
| Unspecified | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Professor | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 10 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 5 | 20% |
| Unspecified | 2 | 8% |
| Computer Science | 2 | 8% |
| Psychology | 1 | 4% |
| Mathematics | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 12 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 15 February 2021.
All research outputs
#1,935,168
of 24,475,473 outputs
Outputs from Frontiers in Systems Neuroscience
#161
of 1,397 outputs
Outputs of similar age
#57,221
of 547,725 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#7
of 29 outputs
Altmetric has tracked 24,475,473 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 88% 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 547,725 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 89% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.