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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational prediction of the human-microbial oral interactome
|
|---|---|
| Published in |
BMC Systems Biology, February 2014
|
| DOI | 10.1186/1752-0509-8-24 |
| Pubmed ID | |
| Authors |
Edgar D Coelho, Joel P Arrais, Sérgio Matos, Carlos Pereira, Nuno Rosa, Maria José Correia, Marlene Barros, José Luís Oliveira |
| Abstract |
The oral cavity is a complex ecosystem where human chemical compounds coexist with a particular microbiota. However, shifts in the normal composition of this microbiota may result in the onset of oral ailments, such as periodontitis and dental caries. In addition, it is known that the microbial colonization of the oral cavity is mediated by protein-protein interactions (PPIs) between the host and microorganisms. Nevertheless, this kind of PPIs is still largely undisclosed. To elucidate these interactions, we have created a computational prediction method that allows us to obtain a first model of the Human-Microbial oral interactome. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Latvia | 1 | 33% |
| India | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Sweden | 1 | 1% |
| Portugal | 1 | 1% |
| France | 1 | 1% |
| Unknown | 92 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 20% |
| Researcher | 17 | 18% |
| Student > Bachelor | 14 | 15% |
| Student > Ph. D. Student | 13 | 14% |
| Student > Doctoral Student | 5 | 5% |
| Other | 14 | 15% |
| Unknown | 14 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 23% |
| Computer Science | 18 | 19% |
| Biochemistry, Genetics and Molecular Biology | 13 | 14% |
| Medicine and Dentistry | 8 | 8% |
| Immunology and Microbiology | 5 | 5% |
| Other | 11 | 11% |
| Unknown | 19 | 20% |
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 March 2014.
All research outputs
#7,441,384
of 22,747,498 outputs
Outputs from BMC Systems Biology
#314
of 1,142 outputs
Outputs of similar age
#73,673
of 221,166 outputs
Outputs of similar age from BMC Systems Biology
#5
of 21 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 64% 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 221,166 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.