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Large-Scale Integrative Analysis of Soybean Transcriptome Using an Unsupervised Autoencoder Model

Overview of attention for article published in Frontiers in Plant Science, March 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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5 X users

Citations

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1 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Large-Scale Integrative Analysis of Soybean Transcriptome Using an Unsupervised Autoencoder Model
Published in
Frontiers in Plant Science, March 2022
DOI 10.3389/fpls.2022.831204
Pubmed ID
Authors

Lingtao Su, Chunhui Xu, Shuai Zeng, Li Su, Trupti Joshi, Gary Stacey, Dong Xu

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 3 30%
Student > Master 2 20%
Researcher 1 10%
Unspecified 1 10%
Unknown 3 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 50%
Unspecified 1 10%
Engineering 1 10%
Unknown 3 30%
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 06 November 2023.
All research outputs
#7,651,707
of 24,758,493 outputs
Outputs from Frontiers in Plant Science
#4,608
of 23,604 outputs
Outputs of similar age
#149,519
of 435,135 outputs
Outputs of similar age from Frontiers in Plant Science
#152
of 1,092 outputs
Altmetric has tracked 24,758,493 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 23,604 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 80% 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 435,135 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 65% of its contemporaries.
We're also able to compare this research output to 1,092 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.