| Title |
Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing
|
|---|---|
| Published in |
Nature Communications, January 2021
|
| DOI | 10.1038/s41467-020-20692-1 |
| Pubmed ID | |
| Authors |
Yanan Zhong, Jianshi Tang, Xinyi Li, Bin Gao, He Qian, Huaqiang Wu |
Mendeley readers
The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 191 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 20% |
| Researcher | 20 | 10% |
| Student > Bachelor | 15 | 8% |
| Student > Master | 12 | 6% |
| Student > Doctoral Student | 7 | 4% |
| Other | 14 | 7% |
| Unknown | 84 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 44 | 23% |
| Physics and Astronomy | 18 | 9% |
| Materials Science | 18 | 9% |
| Computer Science | 6 | 3% |
| Chemistry | 6 | 3% |
| Other | 14 | 7% |
| Unknown | 85 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 45. 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 October 2022.
All research outputs
#830,257
of 23,555,482 outputs
Outputs from Nature Communications
#13,810
of 49,023 outputs
Outputs of similar age
#24,572
of 504,267 outputs
Outputs of similar age from Nature Communications
#535
of 1,633 outputs
Altmetric has tracked 23,555,482 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 49,023 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.2. This one has gotten more attention than average, scoring higher than 71% 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 504,267 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 95% of its contemporaries.
We're also able to compare this research output to 1,633 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 67% of its contemporaries.