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HMD-ARG: hierarchical multi-task deep learning for annotating antibiotic resistance genes

Overview of attention for article published in Microbiome, February 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

blogs
1 blog
twitter
25 tweeters
video
1 video uploader

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
37 Mendeley
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Title
HMD-ARG: hierarchical multi-task deep learning for annotating antibiotic resistance genes
Published in
Microbiome, February 2021
DOI 10.1186/s40168-021-01002-3
Pubmed ID
Authors

Yu Li, Zeling Xu, Wenkai Han, Huiluo Cao, Ramzan Umarov, Aixin Yan, Ming Fan, Huan Chen, Carlos M. Duarte, Lihua Li, Pak-Leung Ho, Xin Gao

Twitter Demographics

The data shown below were collected from the profiles of 25 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 16%
Researcher 4 11%
Student > Bachelor 4 11%
Student > Master 3 8%
Unspecified 2 5%
Other 8 22%
Unknown 10 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 19%
Agricultural and Biological Sciences 5 14%
Engineering 3 8%
Unspecified 2 5%
Computer Science 2 5%
Other 8 22%
Unknown 10 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 01 March 2021.
All research outputs
#1,308,495
of 19,419,692 outputs
Outputs from Microbiome
#499
of 1,174 outputs
Outputs of similar age
#38,172
of 385,952 outputs
Outputs of similar age from Microbiome
#1
of 1 outputs
Altmetric has tracked 19,419,692 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,174 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.2. This one has gotten more attention than average, scoring higher than 57% 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 385,952 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them