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CID-GCN: An Effective Graph Convolutional Networks for Chemical-Induced Disease Relation Extraction

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

Mentioned by

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2 X users

Citations

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8 Dimensions

Readers on

mendeley
10 Mendeley
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Title
CID-GCN: An Effective Graph Convolutional Networks for Chemical-Induced Disease Relation Extraction
Published in
Frontiers in Genetics, February 2021
DOI 10.3389/fgene.2021.624307
Pubmed ID
Authors

Daojian Zeng, Chao Zhao, Zhe Quan

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 10%
Other 1 10%
Lecturer 1 10%
Student > Doctoral Student 1 10%
Professor 1 10%
Other 2 20%
Unknown 3 30%
Readers by discipline Count As %
Computer Science 3 30%
Unspecified 1 10%
Environmental Science 1 10%
Chemistry 1 10%
Unknown 4 40%
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 19 March 2021.
All research outputs
#18,130,187
of 23,289,753 outputs
Outputs from Frontiers in Genetics
#6,257
of 12,302 outputs
Outputs of similar age
#365,040
of 513,619 outputs
Outputs of similar age from Frontiers in Genetics
#266
of 516 outputs
Altmetric has tracked 23,289,753 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,302 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 40th percentile – i.e., 40% 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 513,619 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 516 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.