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Study of seed hair growth in Populus tomentosa, an important character of female floral bud development

Overview of attention for article published in BMC Genomics, June 2014
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Title
Study of seed hair growth in Populus tomentosa, an important character of female floral bud development
Published in
BMC Genomics, June 2014
DOI 10.1186/1471-2164-15-475
Pubmed ID
Authors

Meixia Ye, Zhong Chen, Xiaoxing Su, Lexiang Ji, Jia Wang, Weihua Liao, Huandi Ma, Xinmin An

Abstract

Poplar seed hair is an environmental annoyance in northern China due to its abundance and widespread airborne distribution after maturation. The morphogenesis and molecular mechanisms of its development are not well understood, and little attention has been focused on the dynamics of its development. To better understand the mechanism of poplar seed hair development, paraffin sections were used to examine the initiation and elongation of poplar seed hairs. RNA-seq technology was also employed to provide a comprehensive overview of transcriptional changes that occur during seed hair development.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 25%
Unspecified 2 13%
Professor 2 13%
Other 1 6%
Lecturer 1 6%
Other 3 19%
Unknown 3 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 25%
Biochemistry, Genetics and Molecular Biology 3 19%
Unspecified 2 13%
Environmental Science 1 6%
Psychology 1 6%
Other 1 6%
Unknown 4 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 June 2014.
All research outputs
#18,373,576
of 22,757,090 outputs
Outputs from BMC Genomics
#8,165
of 10,637 outputs
Outputs of similar age
#163,761
of 228,190 outputs
Outputs of similar age from BMC Genomics
#134
of 206 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,637 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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 228,190 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 206 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.