↓ Skip to main content

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

Overview of attention for article published in Microbiome, February 2021
Altmetric Badge

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)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

blogs
1 blog
twitter
25 X users
video
1 YouTube creator

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
81 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
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

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 X users 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 15%
Student > Master 11 14%
Student > Ph. D. Student 8 10%
Student > Bachelor 7 9%
Professor 3 4%
Other 12 15%
Unknown 28 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 20%
Agricultural and Biological Sciences 10 12%
Immunology and Microbiology 4 5%
Environmental Science 3 4%
Computer Science 3 4%
Other 13 16%
Unknown 32 40%
Attention Score in Context

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 24 September 2022.
All research outputs
#1,744,998
of 24,495,755 outputs
Outputs from Microbiome
#657
of 1,648 outputs
Outputs of similar age
#49,689
of 519,463 outputs
Outputs of similar age from Microbiome
#28
of 73 outputs
Altmetric has tracked 24,495,755 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,648 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.9. This one has gotten more attention than average, scoring higher than 60% 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 519,463 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 73 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 63% of its contemporaries.