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Using high-throughput multiple optical phenotyping to decipher the genetic architecture of maize drought tolerance

Overview of attention for article published in Genome Biology, June 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
6 X users

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
84 Mendeley
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Title
Using high-throughput multiple optical phenotyping to decipher the genetic architecture of maize drought tolerance
Published in
Genome Biology, June 2021
DOI 10.1186/s13059-021-02377-0
Pubmed ID
Authors

Xi Wu, Hui Feng, Di Wu, Shijuan Yan, Pei Zhang, Wenbin Wang, Jun Zhang, Junli Ye, Guoxin Dai, Yuan Fan, Weikun Li, Baoxing Song, Zedong Geng, Wanli Yang, Guoxin Chen, Feng Qin, William Terzaghi, Michelle Stitzer, Lin Li, Lizhong Xiong, Jianbing Yan, Edward Buckler, Wanneng Yang, Mingqiu Dai

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 20%
Student > Ph. D. Student 13 15%
Student > Master 8 10%
Student > Bachelor 5 6%
Professor > Associate Professor 4 5%
Other 6 7%
Unknown 31 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 49%
Biochemistry, Genetics and Molecular Biology 5 6%
Computer Science 3 4%
Engineering 1 1%
Unknown 34 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 27 June 2021.
All research outputs
#2,985,787
of 25,392,582 outputs
Outputs from Genome Biology
#2,236
of 4,470 outputs
Outputs of similar age
#70,773
of 455,417 outputs
Outputs of similar age from Genome Biology
#51
of 74 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 455,417 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.