↓ Skip to main content

MTGNN: Multi-Task Graph Neural Network based few-shot learning for disease similarity measurement

Overview of attention for article published in Methods, October 2021
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

patent
3 patents

Readers on

mendeley
20 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.
Article details
Title
MTGNN: Multi-Task Graph Neural Network based few-shot learning for disease similarity measurement
Published in
Methods, October 2021
DOI 10.1016/j.ymeth.2021.10.005
Pubmed ID
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

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.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Lecturer 3 15%
Student > Ph. D. Student 2 10%
Student > Master 2 10%
Unspecified 1 5%
Researcher 1 5%
Other 0 0%
Unknown 11 55%
Readers by discipline
Readers by discipline Count As %
Computer Science 4 20%
Social Sciences 2 10%
Unspecified 1 5%
Engineering 1 5%
Unknown 12 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 26 August 2026.
All research outputs
#7,573,147
of 34,357,901 outputs
Outputs from Methods
#871
of 2,911 outputs
Outputs of similar age
#120,370
of 471,435 outputs
Outputs of similar age from Methods
#2
of 17 outputs
Altmetric has tracked 34,357,901 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,911 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has gotten more attention than average, scoring higher than 59% 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 471,435 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 73% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.