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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% |
| Scientists | 1 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 324 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 324 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 61 | 19% |
| Student > Bachelor | 55 | 17% |
| Student > Ph. D. Student | 33 | 10% |
| Researcher | 27 | 8% |
| Student > Doctoral Student | 12 | 4% |
| Other | 34 | 10% |
| Unknown | 102 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 70 | 22% |
| Engineering | 67 | 21% |
| Neuroscience | 16 | 5% |
| Agricultural and Biological Sciences | 9 | 3% |
| Biochemistry, Genetics and Molecular Biology | 7 | 2% |
| Other | 43 | 13% |
| Unknown | 112 | 35% |
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
#7,152,947
of 25,466,764 outputs
Outputs from Frontiers in Computational Neuroscience
#338
of 1,465 outputs
Outputs of similar age
#131,933
of 447,617 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#7
of 23 outputs
Altmetric has tracked 25,466,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,465 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 76% 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 447,617 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 70% 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 73% of its contemporaries.