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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fast Object Tracking on a Many-Core Neural Network Chip
|
|---|---|
| Published in |
Frontiers in Neuroscience, November 2018
|
| DOI | 10.3389/fnins.2018.00841 |
| Pubmed ID | |
| Authors |
Lei Deng, Zhe Zou, Xin Ma, Ling Liang, Guanrui Wang, Xing Hu, Liu Liu, Jing Pei, Guoqi Li, Yuan Xie |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 22% |
| Student > Ph. D. Student | 5 | 22% |
| Researcher | 2 | 9% |
| Other | 1 | 4% |
| Professor > Associate Professor | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 9 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 30% |
| Computer Science | 5 | 22% |
| Neuroscience | 1 | 4% |
| Unknown | 10 | 43% |
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 30 November 2018.
All research outputs
#20,663,600
of 25,385,509 outputs
Outputs from Frontiers in Neuroscience
#9,459
of 11,543 outputs
Outputs of similar age
#263,489
of 336,950 outputs
Outputs of similar age from Frontiers in Neuroscience
#230
of 273 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 12th percentile – i.e., 12% 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 336,950 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 273 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.