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Comprehensive Analysis of CLE Polypeptide Signaling Gene Expression and Overexpression Activity in Arabidopsis

Overview of attention for article published in Plant Physiology, September 2010
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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blogs
1 blog
patent
1 patent
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4 Wikipedia pages
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1 Bluesky user

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209 Mendeley
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Article details
Title
Comprehensive Analysis of CLE Polypeptide Signaling Gene Expression and Overexpression Activity in Arabidopsis
Published in
Plant Physiology, September 2010
DOI 10.1104/pp.110.163683
Pubmed ID
Authors
Abstract

Intercellular signaling is essential for the coordination of growth and development in higher plants. Although hundreds of putative receptors have been identified in Arabidopsis (Arabidopsis thaliana), only a few families of extracellular signaling molecules have been discovered, and their biological roles are largely unknown. To expand our insight into the developmental processes potentially regulated by ligand-mediated signal transduction pathways, we undertook a systematic expression analysis of the members of the Arabidopsis CLAVATA3/ESR-RELATED (CLE) small signaling polypeptide family. Using reporter constructs, we show that the CLE genes have distinct and specific patterns of promoter activity. We find that each Arabidopsis tissue expresses at least one CLE gene, indicating that CLE-mediated signaling pathways are likely to play roles in many biological processes during the plant life cycle. Some CLE genes that are closely related in sequence have dissimilar expression profiles, yet in many tissues multiple CLE genes have overlapping patterns of promoter-driven reporter activity. This observation, plus the general absence of detectable morphological phenotypes in cle null mutants, suggest that a high degree of functional redundancy exists among CLE gene family members. Our work establishes a community resource of CLE-related biological materials and provides a platform for understanding and ultimately manipulating many different plant signaling systems.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 209 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 %
United States 2 <1%
Spain 2 <1%
Germany 1 <1%
China 1 <1%
Belgium 1 <1%
Unknown 202 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 47 22%
Researcher 32 15%
Student > Master 27 13%
Student > Bachelor 14 7%
Professor > Associate Professor 12 6%
Other 30 14%
Unknown 47 22%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 115 55%
Biochemistry, Genetics and Molecular Biology 42 20%
Chemistry 2 <1%
Mathematics 1 <1%
Computer Science 1 <1%
Other 3 1%
Unknown 45 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 September 2026.
All research outputs
#3,276,965
of 34,311,960 outputs
Outputs from Plant Physiology
#1,659
of 16,082 outputs
Outputs of similar age
#13,007
of 155,412 outputs
Outputs of similar age from Plant Physiology
#14
of 80 outputs
Altmetric has tracked 34,311,960 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,082 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 89% 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 155,412 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.