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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Antibiotic resistance shaping multi-level population biology of bacteria
|
|---|---|
| Published in |
Frontiers in Microbiology, January 2013
|
| DOI | 10.3389/fmicb.2013.00015 |
| Pubmed ID | |
| Authors |
Fernando Baquero, Ana P. Tedim, Teresa M. Coque |
| Abstract |
Antibiotics have natural functions, mostly involving cell-to-cell signaling networks. The anthropogenic production of antibiotics, and its release in the microbiosphere results in a disturbance of these networks, antibiotic resistance tending to preserve its integrity. The cost of such adaptation is the emergence and dissemination of antibiotic resistance genes, and of all genetic and cellular vehicles in which these genes are located. Selection of the combinations of the different evolutionary units (genes, integrons, transposons, plasmids, cells, communities and microbiomes, hosts) is highly asymmetrical. Each unit of selection is a self-interested entity, exploiting the higher hierarchical unit for its own benefit, but in doing so the higher hierarchical unit might acquire critical traits for its spread because of the exploitation of the lower hierarchical unit. This interactive trade-off shapes the population biology of antibiotic resistance, a composed-complex array of the independent "population biologies." Antibiotics modify the abundance and the interactive field of each of these units. Antibiotics increase the number and evolvability of "clinical" antibiotic resistance genes, but probably also many other genes with different primary functions but with a resistance phenotype present in the environmental resistome. Antibiotics influence the abundance, modularity, and spread of integrons, transposons, and plasmids, mostly acting on structures present before the antibiotic era. Antibiotics enrich particular bacterial lineages and clones and contribute to local clonalization processes. Antibiotics amplify particular genetic exchange communities sharing antibiotic resistance genes and platforms within microbiomes. In particular human or animal hosts, the microbiomic composition might facilitate the interactions between evolutionary units involved in antibiotic resistance. The understanding of antibiotic resistance implies expanding our knowledge on multi-level population biology of bacteria. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 25% |
| Scientists | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Unknown | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 376 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 1% |
| Portugal | 2 | <1% |
| Spain | 2 | <1% |
| Switzerland | 1 | <1% |
| Sweden | 1 | <1% |
| Israel | 1 | <1% |
| United Kingdom | 1 | <1% |
| France | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 358 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 79 | 21% |
| Researcher | 63 | 17% |
| Student > Master | 49 | 13% |
| Student > Bachelor | 29 | 8% |
| Other | 22 | 6% |
| Other | 72 | 19% |
| Unknown | 62 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 118 | 31% |
| Biochemistry, Genetics and Molecular Biology | 43 | 11% |
| Immunology and Microbiology | 30 | 8% |
| Medicine and Dentistry | 28 | 7% |
| Environmental Science | 16 | 4% |
| Other | 60 | 16% |
| Unknown | 81 | 22% |
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 06 May 2015.
All research outputs
#13,147,386
of 22,699,621 outputs
Outputs from Frontiers in Microbiology
#9,760
of 24,512 outputs
Outputs of similar age
#155,719
of 280,695 outputs
Outputs of similar age from Frontiers in Microbiology
#150
of 407 outputs
Altmetric has tracked 22,699,621 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 24,512 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 gotten more attention than average, scoring higher than 58% 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 280,695 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
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 gotten more attention than average, scoring higher than 60% of its contemporaries.