You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
The association between hypoxia-inducible factor-1 α gene G1790A polymorphism and cancer risk: a meta-analysis of 28 case–control studies
|
|---|---|
| Published in |
Cancer Cell International, May 2014
|
| DOI | 10.1186/1475-2867-14-37 |
| Pubmed ID | |
| Authors |
Yuqiao Zhou, Lin Lin, Yun Wang, Xin Jin, Xin Zhao, Dongjuan Liu, Ting Hu, Lu Jiang, Hongxia Dan, Xin Zeng, Jing Li, Jiayi Wang, Qianming Chen |
| Abstract |
Hypoxia-inducible factor-1 (HIF-1) is a key transcription factor that regulates the cellular adaptation to hypoxia. HIF-1α gene single nucleotide polymorphisms (SNPs) are implicated to be associated with cancer risks. However, results from the published studies remained inconclusive. The aim of this study is to investigate the relationship of HIF-1α gene G1790A polymorphism with cancer using meta-analysis. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 50% |
| Members of the public | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 4% |
| Unknown | 24 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 12% |
| Student > Bachelor | 3 | 12% |
| Other | 2 | 8% |
| Student > Doctoral Student | 2 | 8% |
| Professor | 2 | 8% |
| Other | 8 | 32% |
| Unknown | 5 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 44% |
| Biochemistry, Genetics and Molecular Biology | 3 | 12% |
| Agricultural and Biological Sciences | 3 | 12% |
| Computer Science | 2 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 3 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 05 September 2014.
All research outputs
#3,568,511
of 22,754,104 outputs
Outputs from Cancer Cell International
#318
of 1,792 outputs
Outputs of similar age
#35,919
of 227,852 outputs
Outputs of similar age from Cancer Cell International
#4
of 11 outputs
Altmetric has tracked 22,754,104 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,792 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 82% 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 227,852 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.