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Intrinsic Gain Modulation and Adaptive Neural Coding

Overview of attention for article published in PLoS Computational Biology, July 2008
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
136 Mendeley
citeulike
3 CiteULike
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Title
Intrinsic Gain Modulation and Adaptive Neural Coding
Published in
PLoS Computational Biology, July 2008
DOI 10.1371/journal.pcbi.1000119
Pubmed ID
Authors

Sungho Hong, Brian Nils Lundstrom, Adrienne L. Fairhall

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 5%
Netherlands 4 3%
Germany 4 3%
Switzerland 1 <1%
France 1 <1%
United Kingdom 1 <1%
Norway 1 <1%
Russia 1 <1%
Canada 1 <1%
Other 0 0%
Unknown 115 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 36%
Student > Ph. D. Student 31 23%
Student > Master 14 10%
Professor > Associate Professor 10 7%
Other 9 7%
Other 15 11%
Unknown 8 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 42%
Neuroscience 16 12%
Engineering 10 7%
Computer Science 9 7%
Physics and Astronomy 9 7%
Other 27 20%
Unknown 8 6%
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 January 2024.
All research outputs
#8,713,411
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#5,683
of 9,043 outputs
Outputs of similar age
#34,377
of 97,105 outputs
Outputs of similar age from PLoS Computational Biology
#17
of 40 outputs
Altmetric has tracked 25,806,080 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 9,043 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 97,105 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.