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The Hidden Genomics of Chlamydia trachomatis

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Chapter title
The Hidden Genomics of Chlamydia trachomatis
Chapter number 39
Published in
Current topics in microbiology and immunology, January 2017
DOI 10.1007/82_2017_39
Pubmed ID
Authors

James Hadfield, Angèle Bénard, Daryl Domman, Nicholas Thomson

Abstract

The application of whole-genome sequencing has moved us on from sequencing single genomes to defining unravelling population structures in different niches, and at the -species, -serotype or even -genus level, and in local, national and global settings. This has been instrumental in cataloguing and revealing a huge a range of diversity in this bacterium, when at first we thought there was little. Genomics has challenged assumptions, added insight, as well as confusion and glimpses of truths. What is clear is that at a time when we start to realise the extent and nature of the diversity contained within a genus or a species like this, the huge depth of knowledge communities have developed, through cell biology, as well as the new found molecular approaches will be more precious than ever to link genotype to phenotype. Here we detail the technological developments and insights we have seen during the relatively short time since we began to see the hidden genome of Chlamydia trachomatis.

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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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 33%
Professor 2 11%
Student > Bachelor 2 11%
Lecturer 1 6%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 5 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 28%
Immunology and Microbiology 4 22%
Chemical Engineering 1 6%
Business, Management and Accounting 1 6%
Medicine and Dentistry 1 6%
Other 2 11%
Unknown 4 22%
Attention Score in Context

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 01 November 2017.
All research outputs
#15,484,498
of 23,009,818 outputs
Outputs from Current topics in microbiology and immunology
#447
of 679 outputs
Outputs of similar age
#257,369
of 421,290 outputs
Outputs of similar age from Current topics in microbiology and immunology
#27
of 44 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 679 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 25th percentile – i.e., 25% 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 421,290 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.