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Mendeley readers
Attention Score in Context
| Title |
Relating Neuronal Firing Patterns to Functional Differentiation of Cerebral Cortex
|
|---|---|
| Published in |
PLoS Computational Biology, July 2009
|
| DOI | 10.1371/journal.pcbi.1000433 |
| Pubmed ID | |
| Authors |
Shigeru Shinomoto, Hideaki Kim, Takeaki Shimokawa, Nanae Matsuno, Shintaro Funahashi, Keisetsu Shima, Ichiro Fujita, Hiroshi Tamura, Taijiro Doi, Kenji Kawano, Naoko Inaba, Kikuro Fukushima, Sergei Kurkin, Kiyoshi Kurata, Masato Taira, Ken-Ichiro Tsutsui, Hidehiko Komatsu, Tadashi Ogawa, Kowa Koida, Jun Tanji, Keisuke Toyama |
| Abstract |
It has been empirically established that the cerebral cortical areas defined by Brodmann one hundred years ago solely on the basis of cellular organization are closely correlated to their function, such as sensation, association, and motion. Cytoarchitectonically distinct cortical areas have different densities and types of neurons. Thus, signaling patterns may also vary among cytoarchitectonically unique cortical areas. To examine how neuronal signaling patterns are related to innate cortical functions, we detected intrinsic features of cortical firing by devising a metric that efficiently isolates non-Poisson irregular characteristics, independent of spike rate fluctuations that are caused extrinsically by ever-changing behavioral conditions. Using the new metric, we analyzed spike trains from over 1,000 neurons in 15 cortical areas sampled by eight independent neurophysiological laboratories. Analysis of firing-pattern dissimilarities across cortical areas revealed a gradient of firing regularity that corresponded closely to the functional category of the cortical area; neuronal spiking patterns are regular in motor areas, random in the visual areas, and bursty in the prefrontal area. Thus, signaling patterns may play an important role in function-specific cerebral cortical computation. |
Mendeley readers
The data shown below were compiled from readership statistics for 308 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 3% |
| Japan | 5 | 2% |
| Germany | 4 | 1% |
| United Kingdom | 4 | 1% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| Netherlands | 1 | <1% |
| Chile | 1 | <1% |
| Canada | 1 | <1% |
| Other | 6 | 2% |
| Unknown | 276 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 91 | 30% |
| Researcher | 70 | 23% |
| Student > Master | 27 | 9% |
| Professor > Associate Professor | 26 | 8% |
| Student > Bachelor | 18 | 6% |
| Other | 46 | 15% |
| Unknown | 30 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 90 | 29% |
| Neuroscience | 78 | 25% |
| Computer Science | 23 | 7% |
| Physics and Astronomy | 21 | 7% |
| Engineering | 18 | 6% |
| Other | 40 | 13% |
| Unknown | 38 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 10 December 2012.
All research outputs
#7,960,693
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#5,296
of 8,960 outputs
Outputs of similar age
#39,847
of 122,635 outputs
Outputs of similar age from PLoS Computational Biology
#24
of 45 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,960 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 39th percentile – i.e., 39% 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 122,635 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.