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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ReSe2-Based RRAM and Circuit-Level Model for Neuromorphic Computing
|
|---|---|
| Published in |
Frontiers in Nanotechnology, November 2021
|
| DOI | 10.3389/fnano.2021.782836 |
| Authors |
Yifu Huang, Yuqian Gu, Xiaohan Wu, Ruijing Ge, Yao-Feng Chang, Xiyu Wang, Jiahan Zhang, Deji Akinwande, Jack C. Lee |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 13% |
| United Kingdom | 1 | 13% |
| Italy | 1 | 13% |
| Switzerland | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 16% |
| Unspecified | 2 | 11% |
| Student > Master | 2 | 11% |
| Researcher | 1 | 5% |
| Professor | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 10 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 16% |
| Unspecified | 2 | 11% |
| Physics and Astronomy | 2 | 11% |
| Materials Science | 1 | 5% |
| Unknown | 11 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 17 December 2021.
All research outputs
#7,385,405
of 25,878,862 outputs
Outputs from Frontiers in Nanotechnology
#37
of 313 outputs
Outputs of similar age
#154,441
of 520,519 outputs
Outputs of similar age from Frontiers in Nanotechnology
#7
of 30 outputs
Altmetric has tracked 25,878,862 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 313 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 87% 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 520,519 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 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.