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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Self-Aware and Scalable Solution for Efficient Mobile-Cloud Hybrid Robotics
|
|---|---|
| Published in |
Frontiers in Robotics and AI, August 2020
|
| DOI | 10.3389/frobt.2020.00102 |
| Pubmed ID | |
| Authors |
Aamir Akbar, Peter R. Lewis, Elizabeth Wanner |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Switzerland | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 17% |
| Researcher | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Unspecified | 1 | 8% |
| Professor > Associate Professor | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 5 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 25% |
| Computer Science | 2 | 17% |
| Agricultural and Biological Sciences | 1 | 8% |
| Unspecified | 1 | 8% |
| Unknown | 5 | 42% |
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 06 August 2020.
All research outputs
#14,201,324
of 23,220,133 outputs
Outputs from Frontiers in Robotics and AI
#758
of 1,531 outputs
Outputs of similar age
#214,359
of 398,776 outputs
Outputs of similar age from Frontiers in Robotics and AI
#20
of 42 outputs
Altmetric has tracked 23,220,133 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,531 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one is in the 46th percentile – i.e., 46% 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 398,776 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.