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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Association between hepatitis B virus infection and metabolic syndrome: a retrospective cohort study in Shanghai, China
|
|---|---|
| Published in |
BMC Public Health, May 2014
|
| DOI | 10.1186/1471-2458-14-516 |
| Pubmed ID | |
| Authors |
Yanbing Zhou, Yan Cui, Haiju Deng, Jinming Yu |
| Abstract |
Metabolic syndrome (MS) and hepatitis B (HBV) infection are two major public health problems in China. There are few studies about their association, and the results of these studies are contradictory. We conducted a retrospective cohort study to assess the association between MS and HBV in a Shanghai community-based cohort. |
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 % |
|---|---|---|
| India | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 16% |
| Student > Bachelor | 5 | 14% |
| Student > Master | 5 | 14% |
| Researcher | 4 | 11% |
| Professor | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 11 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 22% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Nursing and Health Professions | 4 | 11% |
| Immunology and Microbiology | 2 | 5% |
| Social Sciences | 2 | 5% |
| Other | 1 | 3% |
| Unknown | 16 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 June 2014.
All research outputs
#14,781,203
of 22,756,196 outputs
Outputs from BMC Public Health
#10,873
of 14,831 outputs
Outputs of similar age
#126,725
of 226,672 outputs
Outputs of similar age from BMC Public Health
#222
of 293 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,831 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 23rd percentile – i.e., 23% 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 226,672 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 293 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.