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Biological pattern and transcriptomic exploration and phylogenetic analysis in the odd floral architecture tree: Helwingia willd

Overview of attention for article published in BMC Research Notes, June 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

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1 X user
wikipedia
2 Wikipedia pages

Citations

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2 Dimensions

Readers on

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9 Mendeley
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Title
Biological pattern and transcriptomic exploration and phylogenetic analysis in the odd floral architecture tree: Helwingia willd
Published in
BMC Research Notes, June 2014
DOI 10.1186/1756-0500-7-402
Pubmed ID
Authors

Cheng Sun, Guoliang Yu, Manzhu Bao, Bo Zheng, Guogui Ning

Abstract

Odd traits in few of plant species usually implicate potential biology significances in plant evolutions. The genus Helwingia Willd, a dioecious medical shrub in Aquifoliales order, has an odd floral architecture-epiphyllous inflorescence. The potential significances and possible evolutionary origin of this specie are not well understood due to poorly available data of biological and genetic studies. In addition, the advent of genomics-based technologies has widely revolutionized plant species with unknown genomic information.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Researcher 1 11%
Student > Doctoral Student 1 11%
Student > Master 1 11%
Unknown 3 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 33%
Agricultural and Biological Sciences 2 22%
Computer Science 1 11%
Unknown 3 33%
Attention Score in Context

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 28 December 2022.
All research outputs
#6,631,327
of 23,437,201 outputs
Outputs from BMC Research Notes
#1,020
of 4,306 outputs
Outputs of similar age
#62,077
of 229,168 outputs
Outputs of similar age from BMC Research Notes
#31
of 100 outputs
Altmetric has tracked 23,437,201 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 4,306 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 75% 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 229,168 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 71% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.