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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Editorial: Artificial Neural Networks as Models of Neural Information Processing
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, December 2017
|
| DOI | 10.3389/fncom.2017.00114 |
| Pubmed ID | |
| Authors |
Marcel van Gerven, Sander Bohte |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 22% |
| Japan | 1 | 11% |
| Turkey | 1 | 11% |
| Spain | 1 | 11% |
| United States | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 310 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 310 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 60 | 19% |
| Student > Bachelor | 55 | 18% |
| Student > Ph. D. Student | 33 | 11% |
| Researcher | 26 | 8% |
| Student > Doctoral Student | 11 | 4% |
| Other | 33 | 11% |
| Unknown | 92 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 69 | 22% |
| Engineering | 65 | 21% |
| Neuroscience | 16 | 5% |
| Agricultural and Biological Sciences | 9 | 3% |
| Biochemistry, Genetics and Molecular Biology | 7 | 2% |
| Other | 42 | 14% |
| Unknown | 102 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 10 January 2018.
All research outputs
#6,812,345
of 24,501,737 outputs
Outputs from Frontiers in Computational Neuroscience
#324
of 1,420 outputs
Outputs of similar age
#129,285
of 449,878 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#8
of 23 outputs
Altmetric has tracked 24,501,737 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,420 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 77% 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 449,878 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.