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Robustness of neuroprosthetic decoding algorithms

Overview of attention for article published in Biological Cybernetics, March 2003
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Mentioned by

patent
8 patents

Citations

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100 Dimensions

Readers on

mendeley
175 Mendeley
Title
Robustness of neuroprosthetic decoding algorithms
Published in
Biological Cybernetics, March 2003
DOI 10.1007/s00422-002-0374-6
Pubmed ID
Authors

Mijail Serruya, Nicholas Hatsopoulos, Matthew Fellows, Liam Paninski, John Donoghue

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 5%
Switzerland 1 <1%
Australia 1 <1%
Israel 1 <1%
United Kingdom 1 <1%
Netherlands 1 <1%
Spain 1 <1%
China 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 157 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 26%
Researcher 37 21%
Professor 19 11%
Professor > Associate Professor 18 10%
Student > Master 16 9%
Other 24 14%
Unknown 16 9%
Readers by discipline Count As %
Engineering 55 31%
Agricultural and Biological Sciences 37 21%
Neuroscience 21 12%
Computer Science 12 7%
Psychology 8 5%
Other 22 13%
Unknown 20 11%
Attention Score in Context

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 April 2019.
All research outputs
#7,561,502
of 23,065,445 outputs
Outputs from Biological Cybernetics
#187
of 678 outputs
Outputs of similar age
#17,201
of 49,967 outputs
Outputs of similar age from Biological Cybernetics
#1
of 3 outputs
Altmetric has tracked 23,065,445 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 678 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 33rd percentile – i.e., 33% 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 49,967 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them