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Dicer-like (DCL) proteins in plants

Overview of attention for article published in Functional & Integrative Genomics, February 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 673)
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

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3 patents
wikipedia
4 Wikipedia pages

Citations

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129 Dimensions

Readers on

mendeley
249 Mendeley
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2 CiteULike
connotea
1 Connotea
Title
Dicer-like (DCL) proteins in plants
Published in
Functional & Integrative Genomics, February 2009
DOI 10.1007/s10142-009-0111-5
Pubmed ID
Authors

Qingpo Liu, Ying Feng, Zhujun Zhu

Abstract

Dicer and Dicer-like (DCL) proteins are key components in small RNA biogenesis. DCLs form a small protein family in plants whose diversification time dates to the emergence of mosses (Physcomitrella patens). DCLs are ubiquitously but not evenly expressed in tissues, at different developmental stages, and in response to environmental stresses. In Arabidopsis, AtDCL1, AtDCL2, and AtDCL4 exhibit similar expression pattern during the leaf or stem development, which is distinguished from AtDCL3. However, distinct expression profiles for all DCLs are found during the development of reproductive organs flower and seed. The grape VvDCL1 and VvDCL3 may act sequentially to face the fungi challenge. Overall, the responses of DCLs to drought, cold, and salt are quite different, indicating that plants might have specialized regulatory mechanism in response to different abiotic stresses. Further analysis of the promoter regions reveals a few of cis-elements that are hormone- and stress-responsive and developmental-related. However, gain and loss of cis-elements are frequent during evolution, and not only paralogous but also orthologous DCLs have dissimilar cis-element organization. In addition to cis-elements, AtDCL1 is probably regulated by both ath-miR162 and ath-miR414. Posterior analysis has identified some critical amino acid sites that are responsible for functional divergence between DCL family members. These findings provide new insights into understanding DCL protein functions.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 249 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 1%
Chile 2 <1%
Brazil 2 <1%
Germany 1 <1%
Netherlands 1 <1%
Norway 1 <1%
France 1 <1%
Hungary 1 <1%
India 1 <1%
Other 3 1%
Unknown 233 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 25%
Researcher 43 17%
Student > Master 38 15%
Student > Bachelor 23 9%
Student > Doctoral Student 15 6%
Other 36 14%
Unknown 32 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 153 61%
Biochemistry, Genetics and Molecular Biology 47 19%
Psychology 2 <1%
Medicine and Dentistry 2 <1%
Mathematics 1 <1%
Other 7 3%
Unknown 37 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 02 March 2024.
All research outputs
#2,807,577
of 25,059,640 outputs
Outputs from Functional & Integrative Genomics
#12
of 673 outputs
Outputs of similar age
#8,891
of 104,659 outputs
Outputs of similar age from Functional & Integrative Genomics
#1
of 3 outputs
Altmetric has tracked 25,059,640 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 673 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 98% 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 104,659 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 90% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them