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A new reference genome for Sorghum bicolor reveals high levels of sequence similarity between sweet and grain genotypes: implications for the genetics of sugar metabolism

Overview of attention for article published in BMC Genomics, May 2019
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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 (74th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
100 Mendeley
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Title
A new reference genome for Sorghum bicolor reveals high levels of sequence similarity between sweet and grain genotypes: implications for the genetics of sugar metabolism
Published in
BMC Genomics, May 2019
DOI 10.1186/s12864-019-5734-x
Pubmed ID
Authors

Elizabeth A. Cooper, Zachary W. Brenton, Barry S. Flinn, Jerry Jenkins, Shengqiang Shu, Dave Flowers, Feng Luo, Yunsheng Wang, Penny Xia, Kerrie Barry, Chris Daum, Anna Lipzen, Yuko Yoshinaga, Jeremy Schmutz, Christopher Saski, Wilfred Vermerris, Stephen Kresovich

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 20%
Student > Ph. D. Student 14 14%
Student > Doctoral Student 8 8%
Student > Master 7 7%
Student > Bachelor 7 7%
Other 15 15%
Unknown 29 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 50%
Biochemistry, Genetics and Molecular Biology 14 14%
Unspecified 2 2%
Nursing and Health Professions 1 1%
Arts and Humanities 1 1%
Other 0 0%
Unknown 32 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 July 2019.
All research outputs
#4,255,462
of 23,153,184 outputs
Outputs from BMC Genomics
#1,759
of 10,712 outputs
Outputs of similar age
#85,762
of 350,287 outputs
Outputs of similar age from BMC Genomics
#39
of 242 outputs
Altmetric has tracked 23,153,184 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,712 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 83% 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 350,287 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 74% of its contemporaries.
We're also able to compare this research output to 242 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.