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Automated Curation of CNMF-E-Extracted ROI Spatial Footprints and Calcium Traces Using Open-Source AutoML Tools

Overview of attention for article published in Frontiers in Neural Circuits, July 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
twitter
23 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Automated Curation of CNMF-E-Extracted ROI Spatial Footprints and Calcium Traces Using Open-Source AutoML Tools
Published in
Frontiers in Neural Circuits, July 2020
DOI 10.3389/fncir.2020.00042
Pubmed ID
Authors

Lina M. Tran, Andrew J. Mocle, Adam I. Ramsaran, Alexander D. Jacob, Paul W. Frankland, Sheena A. Josselyn

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 24%
Student > Ph. D. Student 4 14%
Student > Master 3 10%
Lecturer > Senior Lecturer 2 7%
Student > Bachelor 1 3%
Other 1 3%
Unknown 11 38%
Readers by discipline Count As %
Neuroscience 8 28%
Computer Science 3 10%
Agricultural and Biological Sciences 3 10%
Mathematics 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 12 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 15 August 2020.
All research outputs
#1,578,533
of 23,883,950 outputs
Outputs from Frontiers in Neural Circuits
#51
of 1,258 outputs
Outputs of similar age
#44,003
of 399,799 outputs
Outputs of similar age from Frontiers in Neural Circuits
#5
of 28 outputs
Altmetric has tracked 23,883,950 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,258 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 96% 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 399,799 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.