↓ Skip to main content

Heterogeneous Graph Convolutional Networks and Matrix Completion for miRNA-Disease Association Prediction

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, August 2020
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
14 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
Heterogeneous Graph Convolutional Networks and Matrix Completion for miRNA-Disease Association Prediction
Published in
Frontiers in Bioengineering and Biotechnology, August 2020
DOI 10.3389/fbioe.2020.00901
Pubmed ID
Authors

Rongxiang Zhu, Chaojie Ji, Yingying Wang, Yunpeng Cai, Hongyan Wu

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 14%
Student > Ph. D. Student 2 14%
Lecturer 1 7%
Student > Doctoral Student 1 7%
Researcher 1 7%
Other 1 7%
Unknown 6 43%
Readers by discipline Count As %
Computer Science 5 36%
Environmental Science 1 7%
Physics and Astronomy 1 7%
Medicine and Dentistry 1 7%
Unknown 6 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 July 2023.
All research outputs
#7,870,134
of 24,387,992 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,345
of 7,809 outputs
Outputs of similar age
#160,962
of 404,514 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#108
of 402 outputs
Altmetric has tracked 24,387,992 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,809 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 81% 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 404,514 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 59% 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 has gotten more attention than average, scoring higher than 71% of its contemporaries.