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NeuroRetriever: Automatic Neuron Segmentation for Connectome Assembly

Overview of attention for article published in Frontiers in Systems Neuroscience, July 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
15 Mendeley
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Title
NeuroRetriever: Automatic Neuron Segmentation for Connectome Assembly
Published in
Frontiers in Systems Neuroscience, July 2021
DOI 10.3389/fnsys.2021.687182
Pubmed ID
Authors

Chi-Tin Shih, Nan-Yow Chen, Ting-Yuan Wang, Guan-Wei He, Guo-Tzau Wang, Yen-Jen Lin, Ting-Kuo Lee, Ann-Shyn Chiang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 20%
Student > Ph. D. Student 3 20%
Lecturer 1 7%
Student > Bachelor 1 7%
Professor > Associate Professor 1 7%
Other 1 7%
Unknown 5 33%
Readers by discipline Count As %
Neuroscience 6 40%
Agricultural and Biological Sciences 2 13%
Physics and Astronomy 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Unknown 5 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 August 2021.
All research outputs
#17,502,470
of 26,456,908 outputs
Outputs from Frontiers in Systems Neuroscience
#959
of 1,412 outputs
Outputs of similar age
#259,299
of 449,238 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#20
of 39 outputs
Altmetric has tracked 26,456,908 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,412 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 26th percentile – i.e., 26% 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 449,238 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.