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miRFANs: an integrated database for Arabidopsis thalianamicroRNA function annotations

Overview of attention for article published in BMC Plant Biology, May 2012
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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 (83rd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
65 Mendeley
citeulike
2 CiteULike
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Title
miRFANs: an integrated database for Arabidopsis thalianamicroRNA function annotations
Published in
BMC Plant Biology, May 2012
DOI 10.1186/1471-2229-12-68
Pubmed ID
Authors

Hui Liu, Ting Jin, Ruiqi Liao, Linxia Wan, Bin Xu, Shuigeng Zhou, Jihong Guan

Abstract

Plant microRNAs (miRNAs) have been revealed to play important roles in developmental control, hormone secretion, cell differentiation and proliferation, and response to environmental stresses. However, our knowledge about the regulatory mechanisms and functions of miRNAs remains very limited. The main difficulties lie in two aspects. On one hand, the number of experimentally validated miRNA targets is very limited and the predicted targets often include many false positives, which constrains us to reveal the functions of miRNAs. On the other hand, the regulation of miRNAs is known to be spatio-temporally specific, which increases the difficulty for us to understand the regulatory mechanisms of miRNAs.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 3%
Canada 2 3%
Brazil 2 3%
Portugal 1 2%
Germany 1 2%
Slovenia 1 2%
Argentina 1 2%
Unknown 55 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 28%
Student > Ph. D. Student 17 26%
Professor > Associate Professor 7 11%
Professor 6 9%
Student > Master 4 6%
Other 9 14%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 52%
Biochemistry, Genetics and Molecular Biology 12 18%
Computer Science 6 9%
Engineering 3 5%
Unspecified 2 3%
Other 2 3%
Unknown 6 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 15 May 2012.
All research outputs
#4,102,062
of 23,340,595 outputs
Outputs from BMC Plant Biology
#273
of 3,317 outputs
Outputs of similar age
#27,679
of 165,232 outputs
Outputs of similar age from BMC Plant Biology
#4
of 18 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,317 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 91% 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 165,232 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 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.