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Genetic variation in four maturity genes affects photoperiod insensitivity and PHYA-regulated post-flowering responses of soybean

Overview of attention for article published in BMC Plant Biology, June 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
2 tweeters
patent
1 patent

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
91 Mendeley
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Title
Genetic variation in four maturity genes affects photoperiod insensitivity and PHYA-regulated post-flowering responses of soybean
Published in
BMC Plant Biology, June 2013
DOI 10.1186/1471-2229-13-91
Pubmed ID
Authors

Meilan Xu, Zeheng Xu, Baohui Liu, Fanjiang Kong, Yasutaka Tsubokura, Satoshi Watanabe, Zhengjun Xia, Kyuya Harada, Akira Kanazawa, Testuya Yamada, Jun Abe

Abstract

Absence of or low sensitivity to photoperiod is necessary for short-day crops, such as rice and soybean, to adapt to high latitudes. Photoperiod insensitivity in soybeans is controlled by two genetic systems and involves three important maturity genes: E1, a repressor for two soybean orthologs of Arabidopsis FLOWERING LOCUS T (GmFT2a and GmFT5a), and E3 and E4, which are phytochrome A genes. To elucidate the diverse mechanisms underlying photoperiod insensitivity in soybean, we assessed the genotypes of four maturity genes (E1 through E4) in early-flowering photoperiod-insensitive cultivars and their association with post-flowering responses.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 1%
Unknown 90 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 19%
Researcher 13 14%
Student > Master 13 14%
Student > Doctoral Student 11 12%
Student > Bachelor 9 10%
Other 12 13%
Unknown 16 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 69%
Biochemistry, Genetics and Molecular Biology 6 7%
Computer Science 2 2%
Energy 1 1%
Chemistry 1 1%
Other 1 1%
Unknown 17 19%

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 14 January 2016.
All research outputs
#2,256,655
of 9,380,044 outputs
Outputs from BMC Plant Biology
#228
of 1,270 outputs
Outputs of similar age
#30,756
of 128,331 outputs
Outputs of similar age from BMC Plant Biology
#4
of 18 outputs
Altmetric has tracked 9,380,044 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,270 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 81% 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 128,331 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 75% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.