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Multi-Task Network Representation Learning

Overview of attention for article published in Frontiers in Neuroscience, January 2020
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Mentioned by

twitter
1 X user

Readers on

mendeley
20 Mendeley
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Title
Multi-Task Network Representation Learning
Published in
Frontiers in Neuroscience, January 2020
DOI 10.3389/fnins.2020.00001
Pubmed ID
Authors

Yu Xie, Peixuan Jin, Maoguo Gong, Chen Zhang, Bin Yu

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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 15%
Student > Bachelor 2 10%
Student > Postgraduate 2 10%
Professor 1 5%
Student > Master 1 5%
Other 3 15%
Unknown 8 40%
Readers by discipline Count As %
Computer Science 4 20%
Engineering 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Agricultural and Biological Sciences 1 5%
Business, Management and Accounting 1 5%
Other 2 10%
Unknown 9 45%
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 30 January 2020.
All research outputs
#22,771,990
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#10,168
of 11,543 outputs
Outputs of similar age
#402,826
of 472,990 outputs
Outputs of similar age from Frontiers in Neuroscience
#292
of 306 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% 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 472,990 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 306 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.