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Transcript profiling of Populus tomentosa genes in normal, tension, and opposite wood by RNA-seq

Overview of attention for article published in BMC Genomics, March 2015
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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1 blog
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4 X users

Citations

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50 Dimensions

Readers on

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68 Mendeley
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Title
Transcript profiling of Populus tomentosa genes in normal, tension, and opposite wood by RNA-seq
Published in
BMC Genomics, March 2015
DOI 10.1186/s12864-015-1390-y
Pubmed ID
Authors

Jinhui Chen, Beibei Chen, Deqiang Zhang

Abstract

Wood formation affects the chemical and physical properties of wood, and thus affects its utility as a building material or a feedstock for biofuels, pulp and paper. To obtain genome-wide insights on the transcriptome changes and regulatory networks in wood formation, we used high-throughput RNA sequencing to characterize cDNA libraries of mature xylem from tension wood (TW), opposite wood (OW), and normal wood (NW), in the industrial tree species Populus tomentosa.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Norway 1 1%
Brazil 1 1%
Japan 1 1%
United States 1 1%
Unknown 63 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 32%
Researcher 15 22%
Professor > Associate Professor 6 9%
Student > Master 5 7%
Student > Bachelor 4 6%
Other 9 13%
Unknown 7 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 60%
Biochemistry, Genetics and Molecular Biology 10 15%
Engineering 2 3%
Materials Science 2 3%
Environmental Science 1 1%
Other 2 3%
Unknown 10 15%
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 20 April 2015.
All research outputs
#3,602,515
of 22,794,367 outputs
Outputs from BMC Genomics
#1,378
of 10,648 outputs
Outputs of similar age
#45,696
of 258,975 outputs
Outputs of similar age from BMC Genomics
#37
of 290 outputs
Altmetric has tracked 22,794,367 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 10,648 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 87% 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 258,975 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 82% of its contemporaries.
We're also able to compare this research output to 290 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.