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Machine Learning Models to Predict Cognitive Impairment of Rodents Subjected to Space Radiation

Overview of attention for article published in Frontiers in Systems Neuroscience, September 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Readers on

mendeley
16 Mendeley
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Title
Machine Learning Models to Predict Cognitive Impairment of Rodents Subjected to Space Radiation
Published in
Frontiers in Systems Neuroscience, September 2021
DOI 10.3389/fnsys.2021.713131
Pubmed ID
Authors

Mona Matar, Suleyman A. Gokoglu, Matthew T. Prelich, Christopher A. Gallo, Asad K. Iqbal, Richard A. Britten, R. K. Prabhu, Jerry G. Myers

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 25%
Student > Ph. D. Student 2 13%
Professor 1 6%
Student > Master 1 6%
Student > Doctoral Student 1 6%
Other 0 0%
Unknown 7 44%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 19%
Mathematics 1 6%
Nursing and Health Professions 1 6%
Medicine and Dentistry 1 6%
Engineering 1 6%
Other 0 0%
Unknown 9 56%
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 03 October 2021.
All research outputs
#14,268,548
of 23,310,485 outputs
Outputs from Frontiers in Systems Neuroscience
#799
of 1,350 outputs
Outputs of similar age
#205,315
of 430,039 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#21
of 43 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,350 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 38th percentile – i.e., 38% 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 430,039 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.