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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The association between the upper digestive tract microbiota by HOMIM and oral health in a population-based study in Linxian, China
|
|---|---|
| Published in |
BMC Public Health, October 2014
|
| DOI | 10.1186/1471-2458-14-1110 |
| Pubmed ID | |
| Authors |
Guoqin Yu, Bruce A Dye, Mitchell H Gail, Jianxin Shi, Vanja Klepac-Ceraj, Bruce J Paster, Guo-Qing Wang, Wen-Qiang Wei, Jin-Hu Fan, You-Lin Qiao, Sanford M Dawsey, Neal D Freedman, Christian C Abnet |
| Abstract |
Bacteria affect oral health, but few studies have systematically examined the role of bacterial communities in oral diseases. We examined this relationship in a large population-based Chinese cancer screening cohort. |
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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 2% |
| Unknown | 58 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 10% |
| Professor | 6 | 10% |
| Student > Master | 5 | 8% |
| Student > Bachelor | 4 | 7% |
| Unspecified | 4 | 7% |
| Other | 17 | 29% |
| Unknown | 17 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 29% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Agricultural and Biological Sciences | 4 | 7% |
| Unspecified | 4 | 7% |
| Immunology and Microbiology | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 20 | 34% |
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 18 August 2016.
All research outputs
#18,381,794
of 22,768,097 outputs
Outputs from BMC Public Health
#12,835
of 14,840 outputs
Outputs of similar age
#186,196
of 260,282 outputs
Outputs of similar age from BMC Public Health
#233
of 262 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,840 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 6th percentile – i.e., 6% 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 260,282 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 262 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.