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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Convergence of a Relaxed Variable Splitting Coarse Gradient Descent Method for Learning Sparse Weight Binarized Activation Neural Network
|
|---|---|
| Published in |
Frontiers in Applied Mathematics and Statistics, May 2020
|
| DOI | 10.3389/fams.2020.00013 |
| Authors |
Thu Dinh, Jack Xin |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 25% |
| Researcher | 2 | 25% |
| Student > Master | 2 | 25% |
| Unknown | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 38% |
| Mathematics | 1 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Engineering | 1 | 13% |
| Unknown | 2 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 07 May 2020.
All research outputs
#20,616,427
of 23,206,358 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#268
of 344 outputs
Outputs of similar age
#327,284
of 382,493 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#6
of 13 outputs
Altmetric has tracked 23,206,358 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 344 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 382,493 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.