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Integration of GWAS, linkage analysis and transcriptome analysis to reveal the genetic basis of flowering time-related traits in maize

Overview of attention for article published in Frontiers in Plant Science, March 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Integration of GWAS, linkage analysis and transcriptome analysis to reveal the genetic basis of flowering time-related traits in maize
Published in
Frontiers in Plant Science, March 2023
DOI 10.3389/fpls.2023.1145327
Pubmed ID
Authors

Xun Wu, Ying Liu, Xuefeng Lu, Liang Tu, Yuan Gao, Dong Wang, Shuang Guo, Yifei Xiao, Pingfang Xiao, Xiangyang Guo, Angui Wang, Pengfei Liu, Yunfang Zhu, Lin Chen, Zehui Chen

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 38%
Professor 1 13%
Unspecified 1 13%
Professor > Associate Professor 1 13%
Student > Master 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 63%
Biochemistry, Genetics and Molecular Biology 1 13%
Unspecified 1 13%
Unknown 1 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 April 2023.
All research outputs
#14,711,219
of 23,565,002 outputs
Outputs from Frontiers in Plant Science
#8,648
of 21,602 outputs
Outputs of similar age
#145,487
of 314,797 outputs
Outputs of similar age from Frontiers in Plant Science
#284
of 946 outputs
Altmetric has tracked 23,565,002 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,602 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 55% 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 314,797 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 50% of its contemporaries.
We're also able to compare this research output to 946 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 60% of its contemporaries.