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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Defining functional signatures of dysbiosis in periodontitis progression
|
|---|---|
| Published in |
Genome Medicine, April 2015
|
| DOI | 10.1186/s13073-015-0165-z |
| Pubmed ID | |
| Authors |
Gary P Wang |
| Abstract |
Periodontitis is a common inflammatory disease that leads to tooth loss and has been linked to cardiovascular disease and diabetes mellitus. The periodontal microbiome is highly diverse, and metatranscriptomic studies have indicated that the genes that are expressed by the microbiota are more relevant than the microbial composition in the pathogenesis of periodontitis. A recent study of early metabolic activities in the dysbiotic microbiome reveals a functional signature that distinguishes periodontal sites that will become inflamed, supporting the idea that microbial communities as a whole drive disease progression. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 1% |
| Unknown | 75 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 24% |
| Student > Ph. D. Student | 11 | 14% |
| Student > Bachelor | 7 | 9% |
| Researcher | 5 | 7% |
| Professor | 4 | 5% |
| Other | 16 | 21% |
| Unknown | 15 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 42% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Agricultural and Biological Sciences | 6 | 8% |
| Chemistry | 3 | 4% |
| Chemical Engineering | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 18 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 October 2018.
All research outputs
#17,758,492
of 22,805,349 outputs
Outputs from Genome Medicine
#1,356
of 1,440 outputs
Outputs of similar age
#180,565
of 265,216 outputs
Outputs of similar age from Genome Medicine
#26
of 28 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,440 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one is in the 4th percentile – i.e., 4% of its peers scored the same or lower than it.
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 265,216 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.