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Integrated RNA-seq and sRNA-seq analysis identifies novel nitrate-responsive genes in Arabidopsis thaliana roots

Overview of attention for article published in BMC Genomics, October 2013
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
5 X users
patent
2 patents

Readers on

mendeley
157 Mendeley
citeulike
3 CiteULike
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Article details
Title
Integrated RNA-seq and sRNA-seq analysis identifies novel nitrate-responsive genes in Arabidopsis thaliana roots
Published in
BMC Genomics, October 2013
DOI 10.1186/1471-2164-14-701
Pubmed ID
Authors
Abstract

Nitrate and other nitrogen metabolites can act as signals that regulate global gene expression in plants. Adaptive changes in plant morphology and physiology triggered by changes in nitrate availability are partly explained by these changes in gene expression. Despite several genome-wide efforts to identify nitrate-regulated genes, no comprehensive study of the Arabidopsis root transcriptome under contrasting nitrate conditions has been carried out.

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Chile 2 1%
Taiwan 1 <1%
Norway 1 <1%
Netherlands 1 <1%
India 1 <1%
Spain 1 <1%
Germany 1 <1%
Argentina 1 <1%
Unknown 148 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 32 20%
Researcher 28 18%
Student > Master 18 11%
Student > Doctoral Student 15 10%
Student > Postgraduate 13 8%
Other 31 20%
Unknown 20 13%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 98 62%
Biochemistry, Genetics and Molecular Biology 30 19%
Computer Science 2 1%
Environmental Science 1 <1%
Business, Management and Accounting 1 <1%
Other 2 1%
Unknown 23 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 09 February 2021.
All research outputs
#5,316,791
of 31,634,113 outputs
Outputs from BMC Genomics
#2,340
of 12,928 outputs
Outputs of similar age
#41,311
of 245,162 outputs
Outputs of similar age from BMC Genomics
#29
of 222 outputs
Altmetric has tracked 31,634,113 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,928 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 81% 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 245,162 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 83% of its contemporaries.
We're also able to compare this research output to 222 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.