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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Novel resistance functions uncovered using functional metagenomic investigations of resistance reservoirs
|
|---|---|
| Published in |
Frontiers in Microbiology, January 2013
|
| DOI | 10.3389/fmicb.2013.00145 |
| Pubmed ID | |
| Authors |
Erica C. Pehrsson, Kevin J. Forsberg, Molly K. Gibson, Sara Ahmadi, Gautam Dantas |
| Abstract |
Rates of infection with antibiotic-resistant bacteria have increased precipitously over the past several decades, with far-reaching healthcare and societal costs. Recent evidence has established a link between antibiotic resistance genes in human pathogens and those found in non-pathogenic, commensal, and environmental organisms, prompting deeper investigation of natural and human-associated reservoirs of antibiotic resistance. Functional metagenomic selections, in which shotgun-cloned DNA fragments are selected for their ability to confer survival to an indicator host, have been increasingly applied to the characterization of many antibiotic resistance reservoirs. These experiments have demonstrated that antibiotic resistance genes are highly diverse and widely distributed, many times bearing little to no similarity to known sequences. Through unbiased selections for survival to antibiotic exposure, functional metagenomics can improve annotations by reducing the discovery of false-positive resistance and by allowing for the identification of previously unrecognizable resistance genes. In this review, we summarize the novel resistance functions uncovered using functional metagenomic investigations of natural and human-impacted resistance reservoirs. Examples of novel antibiotic resistance genes include those highly divergent from known sequences, those for which sequence is entirely unable to predict resistance function, bifunctional resistance genes, and those with unconventional, atypical resistance mechanisms. Overcoming antibiotic resistance in the clinic will require a better understanding of existing resistance reservoirs and the dissemination networks that govern horizontal gene exchange, informing best practices to limit the spread of resistance-conferring genes to human pathogens. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
| United States | 2 | 20% |
| Denmark | 1 | 10% |
| Chile | 1 | 10% |
| Germany | 1 | 10% |
| Switzerland | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 50% |
| Members of the public | 5 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 272 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | <1% |
| Canada | 2 | <1% |
| United States | 2 | <1% |
| Portugal | 1 | <1% |
| Mexico | 1 | <1% |
| Sweden | 1 | <1% |
| Estonia | 1 | <1% |
| Croatia | 1 | <1% |
| Unknown | 261 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 58 | 21% |
| Student > Ph. D. Student | 48 | 18% |
| Student > Master | 31 | 11% |
| Student > Bachelor | 30 | 11% |
| Student > Doctoral Student | 17 | 6% |
| Other | 41 | 15% |
| Unknown | 47 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 88 | 32% |
| Biochemistry, Genetics and Molecular Biology | 60 | 22% |
| Immunology and Microbiology | 19 | 7% |
| Medicine and Dentistry | 16 | 6% |
| Environmental Science | 10 | 4% |
| Other | 23 | 8% |
| Unknown | 56 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 16 May 2019.
All research outputs
#3,562,871
of 22,711,242 outputs
Outputs from Frontiers in Microbiology
#3,230
of 24,530 outputs
Outputs of similar age
#37,782
of 280,736 outputs
Outputs of similar age from Frontiers in Microbiology
#54
of 407 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,530 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 well, scoring higher than 86% 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 280,736 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 407 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.