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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Editorial: Deep Learning in Biological, Computer, and Neuromorphic Systems
|
---|---|
Published in |
Frontiers in Computational Neuroscience, March 2019
|
DOI | 10.3389/fncom.2019.00011 |
Pubmed ID | |
Authors |
Evgeniy Bart, Jay Hegdé |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 2 | 22% |
Student > Bachelor | 1 | 11% |
Student > Ph. D. Student | 1 | 11% |
Student > Master | 1 | 11% |
Professor > Associate Professor | 1 | 11% |
Other | 0 | 0% |
Unknown | 3 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 22% |
Business, Management and Accounting | 1 | 11% |
Physics and Astronomy | 1 | 11% |
Medicine and Dentistry | 1 | 11% |
Neuroscience | 1 | 11% |
Other | 0 | 0% |
Unknown | 3 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 21 March 2019.
All research outputs
#18,670,143
of 23,132,033 outputs
Outputs from Frontiers in Computational Neuroscience
#1,059
of 1,360 outputs
Outputs of similar age
#266,479
of 351,768 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#22
of 26 outputs
Altmetric has tracked 23,132,033 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,360 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 351,768 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.