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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Uncertainty of Feedback and State Estimation Determines the Speed of Motor Adaptation
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2010
|
| DOI | 10.3389/fncom.2010.00011 |
| Pubmed ID | |
| Authors |
Kunlin Wei, Konrad Körding |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 302 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 12 | 4% |
| United States | 9 | 3% |
| France | 4 | 1% |
| Switzerland | 4 | 1% |
| United Kingdom | 3 | <1% |
| Belgium | 3 | <1% |
| Canada | 2 | <1% |
| Japan | 2 | <1% |
| Turkey | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 261 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 86 | 28% |
| Researcher | 60 | 20% |
| Student > Master | 34 | 11% |
| Professor | 23 | 8% |
| Student > Bachelor | 18 | 6% |
| Other | 49 | 16% |
| Unknown | 32 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 67 | 22% |
| Engineering | 55 | 18% |
| Psychology | 36 | 12% |
| Agricultural and Biological Sciences | 28 | 9% |
| Computer Science | 26 | 9% |
| Other | 42 | 14% |
| Unknown | 48 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 07 January 2022.
All research outputs
#18,429,829
of 22,831,537 outputs
Outputs from Frontiers in Computational Neuroscience
#1,053
of 1,343 outputs
Outputs of similar age
#150,457
of 164,017 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#12
of 14 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,343 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 13th percentile – i.e., 13% 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 164,017 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.