↓ Skip to main content

Genome-wide mapping of methylated adenine residues in pathogenic Escherichia coli using single-molecule real-time sequencing

Overview of attention for article published in Nature Biotechnology, November 2012
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Readers on

mendeley
363 Mendeley
Title
Genome-wide mapping of methylated adenine residues in pathogenic Escherichia coli using single-molecule real-time sequencing
Published in
Nature Biotechnology, November 2012
DOI 10.1038/nbt.2432
Pubmed ID
Authors

Gang Fang, Diana Munera, David I Friedman, Anjali Mandlik, Michael C Chao, Onureena Banerjee, Zhixing Feng, Bojan Losic, Milind C Mahajan, Omar J Jabado, Gintaras Deikus, Tyson A Clark, Khai Luong, Iain A Murray, Brigid M Davis, Alona Keren-Paz, Andrew Chess, Richard J Roberts, Jonas Korlach, Steve W Turner, Vipin Kumar, Matthew K Waldor, Eric E Schadt

Abstract

Single-molecule real-time (SMRT) DNA sequencing allows the systematic detection of chemical modifications such as methylation but has not previously been applied on a genome-wide scale. We used this approach to detect 49,311 putative 6-methyladenine (m6A) residues and 1,407 putative 5-methylcytosine (m5C) residues in the genome of a pathogenic Escherichia coli strain. We obtained strand-specific information for methylation sites and a quantitative assessment of the frequency of methylation at each modified position. We deduced the sequence motifs recognized by the methyltransferase enzymes present in this strain without prior knowledge of their specificity. Furthermore, we found that deletion of a phage-encoded methyltransferase-endonuclease (restriction-modification; RM) system induced global transcriptional changes and led to gene amplification, suggesting that the role of RM systems extends beyond protecting host genomes from foreign DNA.

Twitter Demographics

The data shown below were collected from the profiles of 44 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 363 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 23 6%
United Kingdom 6 2%
Germany 3 <1%
Belgium 3 <1%
Brazil 2 <1%
Norway 2 <1%
Sweden 2 <1%
Japan 2 <1%
France 1 <1%
Other 10 3%
Unknown 309 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 132 36%
Researcher 88 24%
Student > Master 44 12%
Other 27 7%
Professor > Associate Professor 23 6%
Other 49 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 267 74%
Biochemistry, Genetics and Molecular Biology 39 11%
Computer Science 19 5%
Chemistry 11 3%
Medicine and Dentistry 11 3%
Other 16 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 25 December 2016.
All research outputs
#159,742
of 7,559,286 outputs
Outputs from Nature Biotechnology
#420
of 3,846 outputs
Outputs of similar age
#1,812
of 103,284 outputs
Outputs of similar age from Nature Biotechnology
#14
of 108 outputs
Altmetric has tracked 7,559,286 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,846 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.8. 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 103,284 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 98% of its contemporaries.
We're also able to compare this research output to 108 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.