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A Novel Real-Time PCR Assay of microRNAs Using S-Poly(T), a Specific Oligo(dT) Reverse Transcription Primer with Excellent Sensitivity and Specificity

Overview of attention for article published in PLOS ONE, November 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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
2 X users
patent
3 patents

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
103 Mendeley
citeulike
3 CiteULike
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Title
A Novel Real-Time PCR Assay of microRNAs Using S-Poly(T), a Specific Oligo(dT) Reverse Transcription Primer with Excellent Sensitivity and Specificity
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0048536
Pubmed ID
Authors

Kang Kang, Xiaoying Zhang, Hongtao Liu, Zhiwei Wang, Jiasheng Zhong, Zhenting Huang, Xiao Peng, Yan Zeng, Yuna Wang, Yi Yang, Jun Luo, Deming Gou

Abstract

MicroRNAs (miRNAs) are small, non-coding RNAs capable of postranscriptionally regulating gene expression. Accurate expression profiling is crucial for understanding the biological roles of miRNAs, and exploring them as biomarkers of diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Uruguay 2 2%
Austria 1 <1%
India 1 <1%
Egypt 1 <1%
Taiwan 1 <1%
Denmark 1 <1%
Unknown 96 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 25%
Researcher 17 17%
Student > Master 16 16%
Student > Bachelor 10 10%
Student > Doctoral Student 8 8%
Other 12 12%
Unknown 14 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 43%
Biochemistry, Genetics and Molecular Biology 25 24%
Medicine and Dentistry 7 7%
Immunology and Microbiology 2 2%
Environmental Science 2 2%
Other 8 8%
Unknown 15 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 2023.
All research outputs
#4,401,221
of 23,760,369 outputs
Outputs from PLOS ONE
#66,481
of 202,730 outputs
Outputs of similar age
#31,478
of 180,866 outputs
Outputs of similar age from PLOS ONE
#974
of 4,725 outputs
Altmetric has tracked 23,760,369 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 202,730 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one has gotten more attention than average, scoring higher than 66% 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 180,866 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 81% of its contemporaries.
We're also able to compare this research output to 4,725 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.