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A refined, rapid and reproducible high resolution melt (HRM)-based method suitable for quantification of global LINE-1 repetitive element methylation

Overview of attention for article published in BMC Research Notes, December 2011
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
patent
1 patent

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
65 Mendeley
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Title
A refined, rapid and reproducible high resolution melt (HRM)-based method suitable for quantification of global LINE-1 repetitive element methylation
Published in
BMC Research Notes, December 2011
DOI 10.1186/1756-0500-4-565
Pubmed ID
Authors

M Yat Tse, Janet E Ashbury, Nora Zwingerman, Will D King, Sherry AM Taylor, Stephen C Pang

Abstract

The methylation of DNA is recognized as a key mechanism in the regulation of genomic stability and evidence for its role in the development of cancer is accumulating. LINE-1 methylation status represents a surrogate measure of genome-wide methylation.

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 %
Uruguay 2 3%
United States 2 3%
Brazil 1 2%
Germany 1 2%
Russia 1 2%
United Kingdom 1 2%
Unknown 57 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Researcher 15 23%
Student > Bachelor 7 11%
Professor > Associate Professor 7 11%
Professor 3 5%
Other 10 15%
Unknown 7 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 38%
Biochemistry, Genetics and Molecular Biology 11 17%
Medicine and Dentistry 7 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Veterinary Science and Veterinary Medicine 2 3%
Other 6 9%
Unknown 12 18%
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 27 July 2023.
All research outputs
#3,980,234
of 24,293,076 outputs
Outputs from BMC Research Notes
#555
of 4,378 outputs
Outputs of similar age
#32,283
of 251,447 outputs
Outputs of similar age from BMC Research Notes
#11
of 81 outputs
Altmetric has tracked 24,293,076 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 4,378 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 87% 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 251,447 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 87% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.