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A New Method of RNA Secondary Structure Prediction Based on Convolutional Neural Network and Dynamic Programming

Overview of attention for article published in Frontiers in Genetics, May 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
7 X users
patent
1 patent

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
134 Mendeley
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Title
A New Method of RNA Secondary Structure Prediction Based on Convolutional Neural Network and Dynamic Programming
Published in
Frontiers in Genetics, May 2019
DOI 10.3389/fgene.2019.00467
Pubmed ID
Authors

Hao Zhang, Chunhe Zhang, Zhi Li, Cong Li, Xu Wei, Borui Zhang, Yuanning Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 134 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 19%
Researcher 18 13%
Student > Bachelor 16 12%
Student > Master 14 10%
Student > Doctoral Student 7 5%
Other 10 7%
Unknown 44 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 27%
Agricultural and Biological Sciences 14 10%
Computer Science 10 7%
Engineering 7 5%
Physics and Astronomy 4 3%
Other 19 14%
Unknown 44 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 30 May 2024.
All research outputs
#5,472,975
of 26,268,316 outputs
Outputs from Frontiers in Genetics
#1,655
of 13,882 outputs
Outputs of similar age
#99,652
of 367,384 outputs
Outputs of similar age from Frontiers in Genetics
#63
of 266 outputs
Altmetric has tracked 26,268,316 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,882 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 87% 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 367,384 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 72% of its contemporaries.
We're also able to compare this research output to 266 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.