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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bayesian Multi-objective Hyperparameter Optimization for Accurate, Fast, and Efficient Neural Network Accelerator Design
|
|---|---|
| Published in |
Frontiers in Neuroscience, July 2020
|
| DOI | 10.3389/fnins.2020.00667 |
| Pubmed ID | |
| Authors |
Maryam Parsa, John P. Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok, Kaushik Roy |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 23% |
| Student > Bachelor | 6 | 11% |
| Researcher | 5 | 9% |
| Student > Postgraduate | 3 | 6% |
| Student > Master | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 22 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 19% |
| Engineering | 7 | 13% |
| Business, Management and Accounting | 2 | 4% |
| Sports and Recreations | 2 | 4% |
| Neuroscience | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 24 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 03 August 2020.
All research outputs
#3,458,414
of 25,622,179 outputs
Outputs from Frontiers in Neuroscience
#2,727
of 11,639 outputs
Outputs of similar age
#89,054
of 430,458 outputs
Outputs of similar age from Frontiers in Neuroscience
#254
of 359 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 75% 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 430,458 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 78% of its contemporaries.
We're also able to compare this research output to 359 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.