| Title |
Ferroelectric ternary content-addressable memory for one-shot learning
|
|---|---|
| Published in |
Nature Electronics, November 2019
|
| DOI | 10.1038/s41928-019-0321-3 |
| Authors |
Kai Ni, Xunzhao Yin, Ann Franchesca Laguna, Siddharth Joshi, Stefan Dünkel, Martin Trentzsch, Johannes Müller, Sven Beyer, Michael Niemier, Xiaobo Sharon Hu, Suman Datta |
X Demographics
The data shown below were collected from the profiles of 16 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 | 4 | 25% |
| United Kingdom | 3 | 19% |
| France | 2 | 13% |
| Germany | 1 | 6% |
| Unknown | 6 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 94% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 131 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 20% |
| Researcher | 14 | 11% |
| Student > Bachelor | 11 | 8% |
| Professor | 9 | 7% |
| Student > Master | 9 | 7% |
| Other | 18 | 14% |
| Unknown | 44 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 52 | 40% |
| Materials Science | 11 | 8% |
| Computer Science | 8 | 6% |
| Physics and Astronomy | 4 | 3% |
| Unspecified | 3 | 2% |
| Other | 8 | 6% |
| Unknown | 45 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 29 March 2022.
All research outputs
#1,475,510
of 25,622,179 outputs
Outputs from Nature Electronics
#326
of 936 outputs
Outputs of similar age
#34,948
of 476,898 outputs
Outputs of similar age from Nature Electronics
#9
of 38 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 936 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.1. This one has gotten more attention than average, scoring higher than 65% 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 476,898 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 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.