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BaRTv1.0: an improved barley reference transcript dataset to determine accurate changes in the barley transcriptome using RNA-seq

Overview of attention for article published in BMC Genomics, December 2019
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
72 Mendeley
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Title
BaRTv1.0: an improved barley reference transcript dataset to determine accurate changes in the barley transcriptome using RNA-seq
Published in
BMC Genomics, December 2019
DOI 10.1186/s12864-019-6243-7
Pubmed ID
Authors

Paulo Rapazote-Flores, Micha Bayer, Linda Milne, Claus-Dieter Mayer, John Fuller, Wenbin Guo, Pete E. Hedley, Jenny Morris, Claire Halpin, Jason Kam, Sarah M. McKim, Monika Zwirek, M. Cristina Casao, Abdellah Barakate, Miriam Schreiber, Gordon Stephen, Runxuan Zhang, John W. S. Brown, Robbie Waugh, Craig G. Simpson

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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 21%
Student > Ph. D. Student 14 19%
Student > Bachelor 8 11%
Professor > Associate Professor 5 7%
Student > Master 5 7%
Other 11 15%
Unknown 14 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 44%
Biochemistry, Genetics and Molecular Biology 11 15%
Engineering 3 4%
Mathematics 2 3%
Computer Science 2 3%
Other 4 6%
Unknown 18 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 06 March 2020.
All research outputs
#3,707,221
of 23,322,966 outputs
Outputs from BMC Genomics
#1,409
of 10,742 outputs
Outputs of similar age
#85,501
of 460,540 outputs
Outputs of similar age from BMC Genomics
#32
of 258 outputs
Altmetric has tracked 23,322,966 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,742 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 86% 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 460,540 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 81% of its contemporaries.
We're also able to compare this research output to 258 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.