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Attention Score in Context
Title |
Understanding the temporal evolution of neuronal connectivity in cultured networks using statistical analysis
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Published in |
BMC Neuroscience, January 2014
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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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 25% |
Canada | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
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
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.