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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genomic variations leading to alterations in cell morphology of Campylobacter spp
|
|---|---|
| Published in |
Scientific Reports, December 2016
|
| DOI | 10.1038/srep38303 |
| Pubmed ID | |
| Authors |
Diane Esson, Alison E. Mather, Eoin Scanlan, Srishti Gupta, Stefan P. W. de Vries, David Bailey, Simon R. Harris, Trevelyan J. McKinley, Guillaume Méric, Sophia K. Berry, Pietro Mastroeni, Samuel K. Sheppard, Graham Christie, Nicholas R. Thomson, Julian Parkhill, Duncan J. Maskell, Andrew J. Grant |
| Abstract |
Campylobacter jejuni, the most common cause of bacterial diarrhoeal disease, is normally helical. However, it can also adopt straight rod, elongated helical and coccoid forms. Studying how helical morphology is generated, and how it switches between its different forms, is an important objective for understanding this pathogen. Here, we aimed to determine the genetic factors involved in generating the helical shape of Campylobacter. A C. jejuni transposon (Tn) mutant library was screened for non-helical mutants with inconsistent results. Whole genome sequence variation and morphological trends within this Tn library, and in various C. jejuni wild type strains, were compared and correlated to detect genomic elements associated with helical and rod morphologies. All rod-shaped C. jejuni Tn mutants and all rod-shaped laboratory, clinical and environmental C. jejuni and Campylobacter coli contained genetic changes within the pgp1 or pgp2 genes, which encode peptidoglycan modifying enzymes. We therefore confirm the importance of Pgp1 and Pgp2 in the maintenance of helical shape and extended this to a wide range of C. jejuni and C. coli isolates. Genome sequence analysis revealed variation in the sequence and length of homopolymeric tracts found within these genes, providing a potential mechanism of phase variation of cell shape. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| New Zealand | 1 | 2% |
| Unknown | 62 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 17% |
| Student > Ph. D. Student | 10 | 16% |
| Researcher | 9 | 14% |
| Student > Postgraduate | 5 | 8% |
| Student > Bachelor | 4 | 6% |
| Other | 7 | 11% |
| Unknown | 18 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 27% |
| Biochemistry, Genetics and Molecular Biology | 15 | 23% |
| Veterinary Science and Veterinary Medicine | 5 | 8% |
| Immunology and Microbiology | 4 | 6% |
| Medicine and Dentistry | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 18 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 31 May 2018.
All research outputs
#13,669,218
of 23,302,246 outputs
Outputs from Scientific Reports
#61,868
of 125,943 outputs
Outputs of similar age
#208,868
of 418,110 outputs
Outputs of similar age from Scientific Reports
#1,789
of 3,397 outputs
Altmetric has tracked 23,302,246 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 125,943 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has gotten more attention than average, scoring higher than 50% 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 418,110 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,397 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.