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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Toward a Brain-Inspired System: Deep Recurrent Reinforcement Learning for a Simulated Self-Driving Agent
|
|---|---|
| Published in |
Frontiers in Neurorobotics, June 2019
|
| DOI | 10.3389/fnbot.2019.00040 |
| Pubmed ID | |
| Authors |
Jieneng Chen, Jingye Chen, Ruiming Zhang, Xiaobin Hu |
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 % |
|---|---|---|
| Malaysia | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 25% |
| Student > Master | 11 | 20% |
| Student > Bachelor | 4 | 7% |
| Professor | 3 | 5% |
| Other | 3 | 5% |
| Other | 13 | 23% |
| Unknown | 8 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 36% |
| Engineering | 13 | 23% |
| Mathematics | 3 | 5% |
| Business, Management and Accounting | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 9 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 July 2019.
All research outputs
#15,048,038
of 23,151,189 outputs
Outputs from Frontiers in Neurorobotics
#404
of 890 outputs
Outputs of similar age
#204,326
of 350,517 outputs
Outputs of similar age from Frontiers in Neurorobotics
#21
of 39 outputs
Altmetric has tracked 23,151,189 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 890 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 49th percentile – i.e., 49% 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 350,517 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.