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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
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Citations

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312 Dimensions

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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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 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 560 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 22 4%
United Kingdom 6 1%
Belgium 3 <1%
Germany 3 <1%
Sweden 2 <1%
Norway 2 <1%
Japan 2 <1%
Brazil 2 <1%
India 1 <1%
Other 9 2%
Unknown 508 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 141 25%
Student > Ph. D. Student 134 24%
Student > Master 52 9%
Student > Bachelor 37 7%
Other 33 6%
Other 93 17%
Unknown 70 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 267 48%
Biochemistry, Genetics and Molecular Biology 119 21%
Chemistry 17 3%
Immunology and Microbiology 17 3%
Medicine and Dentistry 16 3%
Other 47 8%
Unknown 77 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 February 2024.
All research outputs
#832,809
of 25,711,518 outputs
Outputs from Nature Biotechnology
#1,624
of 8,600 outputs
Outputs of similar age
#4,699
of 199,142 outputs
Outputs of similar age from Nature Biotechnology
#15
of 109 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,600 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.4. This one has done well, scoring higher than 81% 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 199,142 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 97% of its contemporaries.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.