The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
In situ Parallel Training of Analog Neural Network Using Electrochemical Random-Access Memory
|
|---|---|
| Published in |
Frontiers in Neuroscience, April 2021
|
| DOI | 10.3389/fnins.2021.636127 |
| Pubmed ID | |
| Authors |
Yiyang Li, T. Patrick Xiao, Christopher H. Bennett, Erik Isele, Armantas Melianas, Hanbo Tao, Matthew J. Marinella, Alberto Salleo, Elliot J. Fuller, A. Alec Talin |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 17% |
| Researcher | 7 | 15% |
| Student > Master | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Other | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 17 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 12 | 26% |
| Engineering | 8 | 17% |
| Chemistry | 3 | 7% |
| Physics and Astronomy | 1 | 2% |
| Chemical Engineering | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 20 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 02 February 2023.
All research outputs
#6,338,018
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#4,208
of 11,543 outputs
Outputs of similar age
#134,480
of 454,313 outputs
Outputs of similar age from Frontiers in Neuroscience
#136
of 367 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th 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 63% 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 454,313 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 367 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.