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Knowledge structure and emerging trends in the application of deep learning in genetics research: A bibliometric analysis [2000–2021]

Overview of attention for article published in Frontiers in Genetics, August 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
3 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Knowledge structure and emerging trends in the application of deep learning in genetics research: A bibliometric analysis [2000–2021]
Published in
Frontiers in Genetics, August 2022
DOI 10.3389/fgene.2022.951939
Pubmed ID
Authors

Bijun Zhang, Ting Fan

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 10%
Librarian 1 5%
Other 1 5%
Student > Bachelor 1 5%
Student > Doctoral Student 1 5%
Other 2 10%
Unknown 13 62%
Readers by discipline Count As %
Arts and Humanities 1 5%
Environmental Science 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Nursing and Health Professions 1 5%
Agricultural and Biological Sciences 1 5%
Other 1 5%
Unknown 15 71%
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 20 May 2024.
All research outputs
#7,573,839
of 25,978,998 outputs
Outputs from Frontiers in Genetics
#2,309
of 13,831 outputs
Outputs of similar age
#135,826
of 433,236 outputs
Outputs of similar age from Frontiers in Genetics
#90
of 1,116 outputs
Altmetric has tracked 25,978,998 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 13,831 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 82% 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 433,236 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 68% of its contemporaries.
We're also able to compare this research output to 1,116 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.