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Resequencing of 672 Native Rice Accessions to Explore Genetic Diversity and Trait Associations in Vietnam

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

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 393)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
9 news outlets
blogs
3 blogs
twitter
2 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
22 Mendeley
Title
Resequencing of 672 Native Rice Accessions to Explore Genetic Diversity and Trait Associations in Vietnam
Published in
Rice, June 2021
DOI 10.1186/s12284-021-00481-0
Pubmed ID
Authors

Janet Higgins, Bruno Santos, Tran Dang Khanh, Khuat Huu Trung, Tran Duy Duong, Nguyen Thi Phuong Doai, Nguyen Truong Khoa, Dang Thi Thanh Ha, Nguyen Thuy Diep, Kieu Thi Dung, Cong Nguyen Phi, Tran Thi Thuy, Nguyen Thanh Tuan, Hoang Dung Tran, Nguyen Thanh Trung, Hoang Thi Giang, Ta Kim Nhung, Cuong Duy Tran, Son Vi Lang, La Tuan Nghia, Nguyen Van Giang, Tran Dang Xuan, Anthony Hall, Sarah Dyer, Le Huy Ham, Mario Caccamo, Jose J. De Vega

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 27%
Student > Postgraduate 2 9%
Student > Ph. D. Student 2 9%
Student > Bachelor 1 5%
Lecturer 1 5%
Other 1 5%
Unknown 9 41%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 36%
Biochemistry, Genetics and Molecular Biology 3 14%
Computer Science 1 5%
Earth and Planetary Sciences 1 5%
Unknown 9 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 86. 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 05 July 2021.
All research outputs
#433,130
of 23,308,124 outputs
Outputs from Rice
#2
of 393 outputs
Outputs of similar age
#12,556
of 447,214 outputs
Outputs of similar age from Rice
#1
of 13 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 393 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 99% 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 447,214 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 13 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 92% of its contemporaries.