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Mendeley readers
Attention Score in Context
| Title |
The degree of microbiome complexity influences the epithelial response to infection
|
|---|---|
| Published in |
BMC Genomics, August 2009
|
| DOI | 10.1186/1471-2164-10-380 |
| Pubmed ID | |
| Authors |
Jeffrey J Mans, Kate von Lackum, Cassandra Dorsey, Shaun Willis, Shannon M Wallet, Henry V Baker, Richard J Lamont, Martin Handfield |
| Abstract |
The human microflora is known to be extremely complex, yet most pathogenesis research is conducted in mono-species models of infection. Consequently, it remains unclear whether the level of complexity of a host's indigenous flora can affect the virulence potential of pathogenic species. Furthermore, it remains unclear whether the colonization by commensal species affects a host cell's response to pathogenic species beyond the direct physical saturation of surface receptors, the sequestration of nutrients, the modulation of the physico-chemical environment in the oral cavity, or the production of bacteriocins. Using oral epithelial cells as a model, we hypothesized that the virulence of pathogenic species may vary depending on the complexity of the flora that interacts with host cells. |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| France | 1 | 1% |
| Canada | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 79 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 30% |
| Student > Ph. D. Student | 16 | 19% |
| Professor > Associate Professor | 9 | 11% |
| Professor | 7 | 8% |
| Other | 5 | 6% |
| Other | 16 | 19% |
| Unknown | 6 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 42% |
| Medicine and Dentistry | 19 | 23% |
| Biochemistry, Genetics and Molecular Biology | 10 | 12% |
| Unspecified | 2 | 2% |
| Immunology and Microbiology | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 10 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 17 August 2018.
All research outputs
#2,234,703
of 22,715,151 outputs
Outputs from BMC Genomics
#671
of 10,626 outputs
Outputs of similar age
#7,911
of 106,738 outputs
Outputs of similar age from BMC Genomics
#4
of 32 outputs
Altmetric has tracked 22,715,151 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,626 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 93% 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 106,738 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 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.