↓ Skip to main content

Machine Learning Representation of Loss of Eye Regularity in a Drosophila Neurodegenerative Model

Overview of attention for article published in Frontiers in Neuroscience, June 2020
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
5 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
23 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Machine Learning Representation of Loss of Eye Regularity in a Drosophila Neurodegenerative Model
Published in
Frontiers in Neuroscience, June 2020
DOI 10.3389/fnins.2020.00516
Pubmed ID
Authors

Sergio Diez-Hermano, Maria D. Ganfornina, Esteban Vegas-Lozano, Diego Sanchez

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Student > Bachelor 4 17%
Student > Doctoral Student 2 9%
Researcher 2 9%
Professor 1 4%
Other 2 9%
Unknown 7 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 26%
Engineering 3 13%
Unspecified 2 9%
Agricultural and Biological Sciences 1 4%
Environmental Science 1 4%
Other 2 9%
Unknown 8 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 27 June 2020.
All research outputs
#3,276,869
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#2,431
of 11,543 outputs
Outputs of similar age
#86,849
of 433,108 outputs
Outputs of similar age from Frontiers in Neuroscience
#217
of 402 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 78% 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 433,108 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 79% of its contemporaries.
We're also able to compare this research output to 402 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.