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Classifying Promoters by Interpreting the Hidden Information of DNA Sequences via Deep Learning and Combination of Continuous FastText N-Grams

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, November 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
83 Dimensions

Readers on

mendeley
153 Mendeley
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Title
Classifying Promoters by Interpreting the Hidden Information of DNA Sequences via Deep Learning and Combination of Continuous FastText N-Grams
Published in
Frontiers in Bioengineering and Biotechnology, November 2019
DOI 10.3389/fbioe.2019.00305
Pubmed ID
Authors

Nguyen Quoc Khanh Le, Edward Kien Yee Yapp, N. Nagasundaram, Hui-Yuan Yeh

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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 153 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 11%
Student > Bachelor 16 10%
Student > Ph. D. Student 12 8%
Student > Doctoral Student 9 6%
Researcher 8 5%
Other 14 9%
Unknown 77 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 18%
Agricultural and Biological Sciences 15 10%
Computer Science 9 6%
Medicine and Dentistry 6 4%
Engineering 4 3%
Other 13 8%
Unknown 79 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 April 2024.
All research outputs
#8,144,144
of 26,329,145 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,344
of 8,707 outputs
Outputs of similar age
#139,030
of 385,611 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#51
of 200 outputs
Altmetric has tracked 26,329,145 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 8,707 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 84% 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 385,611 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 200 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 74% of its contemporaries.