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A survey of transcriptome complexity using PacBio single-molecule real-time analysis combined with Illumina RNA sequencing for a better understanding of ricinoleic acid biosynthesis in Ricinus…

Overview of attention for article published in BMC Genomics, June 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 (77th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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15 X users

Citations

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28 Dimensions

Readers on

mendeley
30 Mendeley
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Title
A survey of transcriptome complexity using PacBio single-molecule real-time analysis combined with Illumina RNA sequencing for a better understanding of ricinoleic acid biosynthesis in Ricinus communis
Published in
BMC Genomics, June 2019
DOI 10.1186/s12864-019-5832-9
Pubmed ID
Authors

Lijun Wang, Xiaoling Jiang, Lei Wang, Wei Wang, Chunling Fu, Xingchu Yan, Xinxin Geng

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 17%
Researcher 5 17%
Student > Ph. D. Student 5 17%
Student > Bachelor 3 10%
Student > Doctoral Student 2 7%
Other 4 13%
Unknown 6 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 37%
Agricultural and Biological Sciences 10 33%
Business, Management and Accounting 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Unknown 7 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 29 July 2020.
All research outputs
#4,336,742
of 24,569,575 outputs
Outputs from BMC Genomics
#1,637
of 11,011 outputs
Outputs of similar age
#81,596
of 357,439 outputs
Outputs of similar age from BMC Genomics
#39
of 251 outputs
Altmetric has tracked 24,569,575 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,011 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 85% 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 357,439 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 77% of its contemporaries.
We're also able to compare this research output to 251 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.