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Vector reconstruction from firing rates

Overview of attention for article published in Journal of Computational Neuroscience, June 1994
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Mentioned by

patent
6 patents

Citations

dimensions_citation
434 Dimensions

Readers on

mendeley
408 Mendeley
citeulike
2 CiteULike
Title
Vector reconstruction from firing rates
Published in
Journal of Computational Neuroscience, June 1994
DOI 10.1007/bf00962720
Pubmed ID
Authors

Emilio Salinas, L. F. Abbott

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 408 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 4%
France 5 1%
Canada 4 <1%
Germany 3 <1%
Switzerland 2 <1%
United Kingdom 1 <1%
Australia 1 <1%
Mexico 1 <1%
Belarus 1 <1%
Other 2 <1%
Unknown 372 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 127 31%
Researcher 79 19%
Professor > Associate Professor 33 8%
Professor 33 8%
Student > Master 30 7%
Other 64 16%
Unknown 42 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 111 27%
Neuroscience 93 23%
Engineering 56 14%
Computer Science 24 6%
Psychology 21 5%
Other 46 11%
Unknown 57 14%
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 27 September 2016.
All research outputs
#7,557,888
of 23,054,359 outputs
Outputs from Journal of Computational Neuroscience
#69
of 310 outputs
Outputs of similar age
#6,547
of 22,672 outputs
Outputs of similar age from Journal of Computational Neuroscience
#2
of 2 outputs
Altmetric has tracked 23,054,359 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 310 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 60% 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 22,672 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.