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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Digital Biologically Plausible Implementation of Binarized Neural Networks With Differential Hafnium Oxide Resistive Memory Arrays
|
|---|---|
| Published in |
Frontiers in Neuroscience, January 2020
|
| DOI | 10.3389/fnins.2019.01383 |
| Pubmed ID | |
| Authors |
Tifenn Hirtzlin, Marc Bocquet, Bogdan Penkovsky, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 8 | 47% |
| Germany | 1 | 6% |
| United States | 1 | 6% |
| Switzerland | 1 | 6% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 71% |
| Scientists | 5 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 22% |
| Researcher | 8 | 18% |
| Student > Bachelor | 6 | 13% |
| Other | 2 | 4% |
| Student > Master | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 13 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 29% |
| Physics and Astronomy | 6 | 13% |
| Computer Science | 5 | 11% |
| Materials Science | 3 | 7% |
| Business, Management and Accounting | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 14 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 30 November 2022.
All research outputs
#2,881,796
of 25,878,862 outputs
Outputs from Frontiers in Neuroscience
#1,843
of 11,726 outputs
Outputs of similar age
#67,936
of 479,683 outputs
Outputs of similar age from Frontiers in Neuroscience
#59
of 314 outputs
Altmetric has tracked 25,878,862 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,726 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 done well, scoring higher than 84% 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 479,683 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 314 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.