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X Demographics
Mendeley readers
Attention Score in Context
Title |
Association between polymorphisms in ERCC2 gene and oral cancer risk: evidence from a meta-analysis
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Published in |
BMC Cancer, December 2013
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DOI | 10.1186/1471-2407-13-594 |
Pubmed ID | |
Authors |
Enjiao Zhang, Zhigang Cui, Zhongfei Xu, Weiyi Duan, Shaohui Huang, Xuexin Tan, Zhihua Yin, Changfu Sun, Li Lu |
Abstract |
Excision repair cross-complementing group 2 (ERCC2) plays important roles in the repair of DNA damage and adducts. Single nucleotide polymorphisms (SNPs) of ERCC2 gene are suspected to influence the risks of oral cancer. We performed a meta-analysis to systematically summarize the possible association of ERCC2 rs1799793 and rs13181 polymorphisms with oral cancer risks. |
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 % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 4% |
Unknown | 23 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 13% |
Student > Postgraduate | 3 | 13% |
Student > Master | 3 | 13% |
Professor > Associate Professor | 2 | 8% |
Student > Doctoral Student | 2 | 8% |
Other | 4 | 17% |
Unknown | 7 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 54% |
Agricultural and Biological Sciences | 3 | 13% |
Mathematics | 1 | 4% |
Computer Science | 1 | 4% |
Unknown | 6 | 25% |
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 12 December 2013.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Cancer
#6,689
of 8,483 outputs
Outputs of similar age
#275,680
of 313,195 outputs
Outputs of similar age from BMC Cancer
#86
of 106 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,483 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% 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 313,195 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.