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Integration of multiscale dendritic spine structure and function data into systems biology models

Overview of attention for article published in Frontiers in Neuroanatomy, November 2014
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Title
Integration of multiscale dendritic spine structure and function data into systems biology models
Published in
Frontiers in Neuroanatomy, November 2014
DOI 10.3389/fnana.2014.00130
Pubmed ID
Authors

James J. Mancuso, Jie Cheng, Zheng Yin, Jared C. Gilliam, Xiaofeng Xia, Xuping Li, Stephen T. C. Wong

Abstract

Comprising 10(11) neurons with 10(14) synaptic connections the human brain is the ultimate systems biology puzzle. An increasing body of evidence highlights the observation that changes in brain function, both normal and pathological, consistently correlate with dynamic changes in neuronal anatomy. Anatomical changes occur on a full range of scales from the trafficking of individual proteins, to alterations in synaptic morphology both individually and on a systems level, to reductions in long distance connectivity and brain volume. The major sites of contact for synapsing neurons are dendritic spines, which provide an excellent metric for the number and strength of signaling connections between elements of functional neuronal circuits. A comprehensive model of anatomical changes and their functional consequences would be a holy grail for the field of systems neuroscience but its realization appears far on the horizon. Various imaging technologies have advanced to allow for multi-scale visualization of brain plasticity and pathology, but computational analysis of the big data sets involved forms the bottleneck toward the creation of multiscale models of brain structure and function. While a full accounting of techniques and progress toward a comprehensive model of brain anatomy and function is beyond the scope of this or any other single paper, this review serves to highlight the opportunities for analysis of neuronal spine anatomy and function provided by new imaging technologies and the high-throughput application of older technologies while surveying the strengths and weaknesses of currently available computational analytical tools and room for future improvement.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
United States 1 2%
Germany 1 2%
Unknown 59 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 31%
Student > Ph. D. Student 13 21%
Professor 4 6%
Other 4 6%
Student > Doctoral Student 4 6%
Other 12 19%
Unknown 6 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 29%
Neuroscience 11 18%
Engineering 5 8%
Biochemistry, Genetics and Molecular Biology 4 6%
Computer Science 4 6%
Other 12 19%
Unknown 8 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 November 2014.
All research outputs
#18,385,510
of 22,772,779 outputs
Outputs from Frontiers in Neuroanatomy
#921
of 1,159 outputs
Outputs of similar age
#185,387
of 258,739 outputs
Outputs of similar age from Frontiers in Neuroanatomy
#29
of 35 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,159 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 13th percentile – i.e., 13% 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 258,739 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.