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NeuriteNet: A convolutional neural network for assessing morphological parameters of neurite growth

Overview of attention for article published in Journal of Neuroscience Methods, September 2021
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1 X user

Readers on

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10 Mendeley
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Article details
Title
NeuriteNet: A convolutional neural network for assessing morphological parameters of neurite growth
Published in
Journal of Neuroscience Methods, September 2021
DOI 10.1016/j.jneumeth.2021.109349
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Lecturer 2 20%
Student > Ph. D. Student 1 10%
Researcher 1 10%
Unknown 6 60%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 1 10%
Computer Science 1 10%
Medicine and Dentistry 1 10%
Neuroscience 1 10%
Engineering 1 10%
Other 0 0%
Unknown 5 50%
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 05 September 2021.
All research outputs
#17,297,846
of 25,392,582 outputs
Outputs from Journal of Neuroscience Methods
#2,237
of 3,068 outputs
Outputs of similar age
#264,145
of 433,683 outputs
Outputs of similar age from Journal of Neuroscience Methods
#24
of 34 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,068 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 18th percentile – i.e., 18% 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 433,683 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 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.