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X Demographics
Mendeley readers
Attention Score in Context
| Title |
From Continuous Observations to Symbolic Concepts: A Discrimination-Based Strategy for Grounded Concept Learning
|
|---|---|
| Published in |
Frontiers in Robotics and AI, June 2020
|
| DOI | 10.3389/frobt.2020.00084 |
| Pubmed ID | |
| Authors |
Jens Nevens, Paul Van Eecke, Katrien Beuls |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 4 | 33% |
| France | 3 | 25% |
| Comoros | 1 | 8% |
| Germany | 1 | 8% |
| Switzerland | 1 | 8% |
| Unknown | 2 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 3 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 20% |
| Researcher | 3 | 15% |
| Student > Bachelor | 2 | 10% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Other | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 7 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 20% |
| Medicine and Dentistry | 2 | 10% |
| Engineering | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 7 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 08 January 2021.
All research outputs
#3,839,055
of 23,406,603 outputs
Outputs from Frontiers in Robotics and AI
#246
of 1,550 outputs
Outputs of similar age
#94,940
of 400,898 outputs
Outputs of similar age from Frontiers in Robotics and AI
#9
of 40 outputs
Altmetric has tracked 23,406,603 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,550 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done well, scoring higher than 84% 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 400,898 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 76% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.