The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Open-Ended Learning: A Conceptual Framework Based on Representational Redescription
|
|---|---|
| Published in |
Frontiers in Neurorobotics, September 2018
|
| DOI | 10.3389/fnbot.2018.00059 |
| Pubmed ID | |
| Authors |
Stephane Doncieux, David Filliat, Natalia Díaz-Rodríguez, Timothy Hospedales, Richard Duro, Alexandre Coninx, Diederik M. Roijers, Benoît Girard, Nicolas Perrin, Olivier Sigaud |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 13% |
| Mexico | 1 | 7% |
| Australia | 1 | 7% |
| France | 1 | 7% |
| Belgium | 1 | 7% |
| Spain | 1 | 7% |
| Germany | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 80% |
| Scientists | 3 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 26% |
| Student > Master | 10 | 15% |
| Researcher | 9 | 14% |
| Professor | 4 | 6% |
| Professor > Associate Professor | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 19 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 29% |
| Engineering | 9 | 14% |
| Mathematics | 3 | 5% |
| Neuroscience | 3 | 5% |
| Psychology | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 22 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 29 October 2018.
All research outputs
#2,926,573
of 23,577,761 outputs
Outputs from Frontiers in Neurorobotics
#57
of 918 outputs
Outputs of similar age
#61,184
of 342,321 outputs
Outputs of similar age from Frontiers in Neurorobotics
#3
of 25 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 918 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 93% 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 342,321 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 82% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.