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MiRNA-Drug Resistance Association Prediction Through the Attentive Multimodal Graph Convolutional Network

Overview of attention for article published in Frontiers in Pharmacology, January 2022
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Mentioned by

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1 X user

Citations

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10 Dimensions

Readers on

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9 Mendeley
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Title
MiRNA-Drug Resistance Association Prediction Through the Attentive Multimodal Graph Convolutional Network
Published in
Frontiers in Pharmacology, January 2022
DOI 10.3389/fphar.2021.799108
Pubmed ID
Authors

Yanqing Niu, Congzhi Song, Yuchong Gong, Wen Zhang

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Student > Master 2 22%
Other 1 11%
Unknown 4 44%
Readers by discipline Count As %
Computer Science 3 33%
Earth and Planetary Sciences 1 11%
Unknown 5 56%
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 12 January 2022.
All research outputs
#20,937,471
of 23,567,572 outputs
Outputs from Frontiers in Pharmacology
#10,871
of 17,186 outputs
Outputs of similar age
#423,544
of 516,320 outputs
Outputs of similar age from Frontiers in Pharmacology
#687
of 1,167 outputs
Altmetric has tracked 23,567,572 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 17,186 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. 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 516,320 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 1,167 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.