You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
RAPA-ConvNets: Modified Convolutional Networks for Accelerated Training on Architectures With Analog Arrays
|
|---|---|
| Published in |
Frontiers in Neuroscience, July 2019
|
| DOI | 10.3389/fnins.2019.00753 |
| Pubmed ID | |
| Authors |
Malte J. Rasch, Tayfun Gokmen, Mattia Rigotti, Wilfried Haensch |
X Demographics
The data shown below were collected from the profiles of 13 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 | 3 | 23% |
| Unknown | 10 | 77% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 20% |
| Student > Ph. D. Student | 2 | 20% |
| Student > Doctoral Student | 1 | 10% |
| Unspecified | 1 | 10% |
| Librarian | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 40% |
| Linguistics | 1 | 10% |
| Unspecified | 1 | 10% |
| Social Sciences | 1 | 10% |
| Computer Science | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 2 | 20% |
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 19 November 2019.
All research outputs
#6,879,916
of 25,385,509 outputs
Outputs from Frontiers in Neuroscience
#4,454
of 11,543 outputs
Outputs of similar age
#114,639
of 359,103 outputs
Outputs of similar age from Frontiers in Neuroscience
#126
of 340 outputs
Altmetric has tracked 25,385,509 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 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 61% 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 359,103 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 67% of its contemporaries.
We're also able to compare this research output to 340 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 62% of its contemporaries.