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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Toward an Interactive Reinforcement Based Learning Framework for Human Robot Collaborative Assembly Processes
|
|---|---|
| Published in |
Frontiers in Robotics and AI, November 2018
|
| DOI | 10.3389/frobt.2018.00126 |
| Pubmed ID | |
| Authors |
Sharath Chandra Akkaladevi, Matthias Plasch, Sriniwas Maddukuri, Christian Eitzinger, Andreas Pichler, Bernhard Rinner |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| Switzerland | 1 | 20% |
| Germany | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 19% |
| Student > Master | 9 | 17% |
| Student > Doctoral Student | 3 | 6% |
| Other | 2 | 4% |
| Professor > Associate Professor | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 19 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 14 | 27% |
| Computer Science | 9 | 17% |
| Business, Management and Accounting | 2 | 4% |
| Social Sciences | 2 | 4% |
| Materials Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 23 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 26 November 2018.
All research outputs
#13,556,597
of 23,114,117 outputs
Outputs from Frontiers in Robotics and AI
#689
of 1,523 outputs
Outputs of similar age
#213,620
of 437,846 outputs
Outputs of similar age from Frontiers in Robotics and AI
#13
of 24 outputs
Altmetric has tracked 23,114,117 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,523 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has gotten more attention than average, scoring higher than 54% 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 437,846 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.