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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Clinical utilization of genomics data produced by the international Pseudomonas aeruginosa consortium
|
|---|---|
| Published in |
Frontiers in Microbiology, September 2015
|
| DOI | 10.3389/fmicb.2015.01036 |
| Pubmed ID | |
| Authors |
Luca Freschi, Julie Jeukens, Irena Kukavica-Ibrulj, Brian Boyle, Marie-Josée Dupont, Jérôme Laroche, Stéphane Larose, Halim Maaroufi, Joanne L. Fothergill, Matthew Moore, Geoffrey L. Winsor, Shawn D. Aaron, Jean Barbeau, Scott C. Bell, Jane L. Burns, Miguel Camara, André Cantin, Steve J. Charette, Ken Dewar, Éric Déziel, Keith Grimwood, Robert E. W. Hancock, Joe J. Harrison, Stephan Heeb, Lars Jelsbak, Baofeng Jia, Dervla T. Kenna, Timothy J. Kidd, Jens Klockgether, Joseph S. Lam, Iain L. Lamont, Shawn Lewenza, Nick Loman, François Malouin, Jim Manos, Andrew G. McArthur, Josie McKeown, Julie Milot, Hardeep Naghra, Dao Nguyen, Sheldon K. Pereira, Gabriel G. Perron, Jean-Paul Pirnay, Paul B. Rainey, Simon Rousseau, Pedro M. Santos, Anne Stephenson, Véronique Taylor, Jane F. Turton, Nicholas Waglechner, Paul Williams, Sandra W. Thrane, Gerard D. Wright, Fiona S. L. Brinkman, Nicholas P. Tucker, Burkhard Tümmler, Craig Winstanley, Roger C. Levesque |
| Abstract |
The International Pseudomonas aeruginosa Consortium is sequencing over 1000 genomes and building an analysis pipeline for the study of Pseudomonas genome evolution, antibiotic resistance and virulence genes. Metadata, including genomic and phenotypic data for each isolate of the collection, are available through the International Pseudomonas Consortium Database (http://ipcd.ibis.ulaval.ca/). Here, we present our strategy and the results that emerged from the analysis of the first 389 genomes. With as yet unmatched resolution, our results confirm that P. aeruginosa strains can be divided into three major groups that are further divided into subgroups, some not previously reported in the literature. We also provide the first snapshot of P. aeruginosa strain diversity with respect to antibiotic resistance. Our approach will allow us to draw potential links between environmental strains and those implicated in human and animal infections, understand how patients become infected and how the infection evolves over time as well as identify prognostic markers for better evidence-based decisions on patient care. |
X Demographics
The data shown below were collected from the profiles of 37 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 8 | 22% |
| Canada | 7 | 19% |
| United States | 6 | 16% |
| Denmark | 1 | 3% |
| Switzerland | 1 | 3% |
| Netherlands | 1 | 3% |
| Unknown | 13 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 20 | 54% |
| Members of the public | 17 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 193 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 31 | 16% |
| Researcher | 30 | 15% |
| Student > Ph. D. Student | 30 | 15% |
| Student > Bachelor | 28 | 14% |
| Student > Doctoral Student | 11 | 6% |
| Other | 36 | 18% |
| Unknown | 31 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 58 | 29% |
| Agricultural and Biological Sciences | 49 | 25% |
| Immunology and Microbiology | 27 | 14% |
| Medicine and Dentistry | 14 | 7% |
| Computer Science | 4 | 2% |
| Other | 10 | 5% |
| Unknown | 35 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 02 June 2017.
All research outputs
#1,614,896
of 25,452,734 outputs
Outputs from Frontiers in Microbiology
#1,007
of 29,377 outputs
Outputs of similar age
#22,338
of 286,379 outputs
Outputs of similar age from Frontiers in Microbiology
#17
of 429 outputs
Altmetric has tracked 25,452,734 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,377 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 96% 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 286,379 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 92% of its contemporaries.
We're also able to compare this research output to 429 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.