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Attention Score in Context
Chapter title |
Identification of DNA Base Modifications by Means of Pacific Biosciences RS Sequencing Technology
|
---|---|
Chapter number | 10 |
Book title |
Bacteriophages
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7343-9_10 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7341-5, 978-1-4939-7343-9
|
Authors |
Philip Kelleher, James Murphy, Jennifer Mahony, Douwe van Sinderen |
Abstract |
Whole phage genomes can be sequenced readily using one or a combination of next generation sequencing (NGS) technologies. One of the most recently developed NGS platforms, the so-called Single-Molecule Real-Time (SMRT) sequencing approach provided by the PacBio RS platform, is particularly useful in providing complete (i.e., un-gapped) genome sequences, but differs from other technologies in that the platform also allows for downstream analysis to identify nucleotides that have been modified by DNA methylation. Here, we describe the methodological approach for the detection of genomic methylation motifs by means of SMRT sequencing. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 29% |
Student > Ph. D. Student | 3 | 21% |
Student > Bachelor | 2 | 14% |
Lecturer | 1 | 7% |
Unknown | 4 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 7 | 50% |
Biochemistry, Genetics and Molecular Biology | 3 | 21% |
Unknown | 4 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 June 2018.
All research outputs
#17,919,786
of 23,007,887 outputs
Outputs from Methods in molecular biology
#7,286
of 13,157 outputs
Outputs of similar age
#310,312
of 442,278 outputs
Outputs of similar age from Methods in molecular biology
#868
of 1,498 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,157 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 442,278 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.