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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification
|
|---|---|
| Published in |
Frontiers in Robotics and AI, December 2019
|
| DOI | 10.3389/frobt.2019.00137 |
| Pubmed ID | |
| Authors |
Pablo Barros, Manfred Eppe, German I. Parisi, Xun Liu, Stefan Wermter |
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 % |
|---|---|---|
| Switzerland | 1 | 25% |
| Unknown | 3 | 75% |
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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 23% |
| Researcher | 2 | 15% |
| Student > Master | 2 | 15% |
| Professor | 2 | 15% |
| Other | 1 | 8% |
| Other | 2 | 15% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 23% |
| Psychology | 2 | 15% |
| Nursing and Health Professions | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Business, Management and Accounting | 1 | 8% |
| Other | 4 | 31% |
| Unknown | 1 | 8% |
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 16 December 2019.
All research outputs
#12,849,163
of 23,179,757 outputs
Outputs from Frontiers in Robotics and AI
#549
of 1,529 outputs
Outputs of similar age
#199,888
of 459,423 outputs
Outputs of similar age from Frontiers in Robotics and AI
#21
of 53 outputs
Altmetric has tracked 23,179,757 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,529 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 63% 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 459,423 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 55% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.