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Classification of alkaloids according to the starting substances of their biosynthetic pathways using graph convolutional neural networks

Overview of attention for article published in BMC Bioinformatics, July 2019
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  • Average Attention Score compared to outputs of the same age and source

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Title
Classification of alkaloids according to the starting substances of their biosynthetic pathways using graph convolutional neural networks
Published in
BMC Bioinformatics, July 2019
DOI 10.1186/s12859-019-2963-6
Authors

Ryohei Eguchi, Naoaki Ono, Aki Hirai Morita, Tetsuo Katsuragi, Satoshi Nakamura, Ming Huang, Md. Altaf-Ul-Amin, Shigehiko Kanaya

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 14 July 2019.
All research outputs
#10,636,574
of 13,366,323 outputs
Outputs from BMC Bioinformatics
#4,118
of 4,996 outputs
Outputs of similar age
#152,006
of 213,155 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 29 outputs
Altmetric has tracked 13,366,323 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,996 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 8th percentile – i.e., 8% 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 213,155 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.