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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mixed-Precision Deep Learning Based on Computational Memory
|
|---|---|
| Published in |
Frontiers in Neuroscience, May 2020
|
| DOI | 10.3389/fnins.2020.00406 |
| Pubmed ID | |
| Authors |
S. R. Nandakumar, Manuel Le Gallo, Christophe Piveteau, Vinay Joshi, Giovanni Mariani, Irem Boybat, Geethan Karunaratne, Riduan Khaddam-Aljameh, Urs Egger, Anastasios Petropoulos, Theodore Antonakopoulos, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou |
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 | 1 | 11% |
| France | 1 | 11% |
| Unknown | 7 | 78% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 24% |
| Student > Ph. D. Student | 16 | 19% |
| Student > Master | 7 | 8% |
| Student > Doctoral Student | 4 | 5% |
| Student > Bachelor | 4 | 5% |
| Other | 6 | 7% |
| Unknown | 27 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 26 | 31% |
| Computer Science | 8 | 10% |
| Materials Science | 7 | 8% |
| Physics and Astronomy | 3 | 4% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 6 | 7% |
| Unknown | 33 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 23 February 2022.
All research outputs
#1,042,122
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#450
of 11,543 outputs
Outputs of similar age
#31,045
of 420,186 outputs
Outputs of similar age from Frontiers in Neuroscience
#17
of 381 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
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 done particularly well, scoring higher than 96% 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 420,186 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 381 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.