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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fast-Converging Simulated Annealing for Ising Models Based on Integral Stochastic Computing
|
|---|---|
| Published in |
IEEE Transactions on Neural Networks and Learning Systems, November 2023
|
| DOI | 10.1109/tnnls.2022.3159713 |
| Pubmed ID | |
| Authors |
Naoya Onizawa, Kota Katsuki, Duckgyu Shin, Warren J. Gross, Takahiro Hanyu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 6 | 38% |
| Unknown | 10 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 18% |
| Student > Ph. D. Student | 1 | 9% |
| Unspecified | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Professor > Associate Professor | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 5 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 27% |
| Engineering | 2 | 18% |
| Unspecified | 1 | 9% |
| Unknown | 5 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 11 April 2022.
All research outputs
#3,156,325
of 25,708,267 outputs
Outputs from IEEE Transactions on Neural Networks and Learning Systems
#95
of 3,412 outputs
Outputs of similar age
#47,594
of 363,704 outputs
Outputs of similar age from IEEE Transactions on Neural Networks and Learning Systems
#3
of 220 outputs
Altmetric has tracked 25,708,267 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,412 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done particularly well, scoring higher than 97% 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 363,704 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 86% of its contemporaries.
We're also able to compare this research output to 220 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 98% of its contemporaries.