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Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation

Overview of attention for article published in PLoS Computational Biology, November 2009
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
72 Mendeley
citeulike
2 CiteULike
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Title
Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation
Published in
PLoS Computational Biology, November 2009
DOI 10.1371/journal.pcbi.1000577
Pubmed ID
Authors

Arno Onken, Steffen Grünewälder, Matthias H. J. Munk, Klaus Obermayer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 6%
United Kingdom 2 3%
Switzerland 1 1%
Hungary 1 1%
United States 1 1%
Poland 1 1%
Unknown 62 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 33%
Student > Ph. D. Student 21 29%
Professor > Associate Professor 5 7%
Professor 4 6%
Student > Doctoral Student 3 4%
Other 9 13%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 26%
Computer Science 13 18%
Neuroscience 7 10%
Mathematics 6 8%
Psychology 5 7%
Other 15 21%
Unknown 7 10%
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 07 November 2016.
All research outputs
#8,544,090
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#5,639
of 8,964 outputs
Outputs of similar age
#51,654
of 177,948 outputs
Outputs of similar age from PLoS Computational Biology
#36
of 57 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. 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 177,948 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.