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Understanding the temporal evolution of neuronal connectivity in cultured networks using statistical analysis

Overview of attention for article published in BMC Neuroscience, January 2014
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  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Citations

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Title
Understanding the temporal evolution of neuronal connectivity in cultured networks using statistical analysis
Published in
BMC Neuroscience, January 2014
DOI 10.1186/1471-2202-15-17
Pubmed ID
Authors

Alessandro Napoli, Jichun Xie, Iyad Obeid

Abstract

Micro-Electrode Array (MEA) technology allows researchers to perform long-term non-invasive neuronal recordings in-vitro while actively interacting with the cultured neurons. Despite numerous studies carried out using MEAs, many functional, chemical and structural mechanisms of how dissociated cortical neurons develop and respond to external stimuli are not yet well understood because of the lack of quantitative studies that assess how their development can be affected by chronic external stimulation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 1%
Panama 1 1%
Hong Kong 1 1%
United Kingdom 1 1%
Belgium 1 1%
United States 1 1%
Luxembourg 1 1%
Unknown 67 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 20%
Researcher 13 18%
Student > Master 9 12%
Student > Doctoral Student 6 8%
Professor 5 7%
Other 18 24%
Unknown 8 11%
Readers by discipline Count As %
Engineering 16 22%
Neuroscience 13 18%
Agricultural and Biological Sciences 12 16%
Medicine and Dentistry 7 9%
Computer Science 7 9%
Other 11 15%
Unknown 8 11%
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 22 January 2014.
All research outputs
#12,698,145
of 22,739,983 outputs
Outputs from BMC Neuroscience
#490
of 1,241 outputs
Outputs of similar age
#152,930
of 305,591 outputs
Outputs of similar age from BMC Neuroscience
#8
of 33 outputs
Altmetric has tracked 22,739,983 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 1,241 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 59% 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 305,591 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.