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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Association study of 15q14 and 15q25 with high myopia in the Han Chinese population
|
|---|---|
| Published in |
BMC Genomic Data, April 2014
|
| DOI | 10.1186/1471-2156-15-51 |
| Pubmed ID | |
| Authors |
Yu Qiang, Wenjin Li, Qingzhong Wang, Kuanjun He, Zhiqiang Li, Jianhua Chen, Zhijian Song, Jia Qu, Xiangtian Zhou, Shengying Qin, Jiawei Shen, Zujia Wen, Jue Ji, Yongyong Shi |
| Abstract |
Refractive errors and high myopia are the most common ocular disorders, and both of them are leading causes of blindness in the world. Recently, genetic association studies in European and Japanese population identified that common genetic variations located in 15q14 and 15q25 were associated with high myopia. To validate whether the same variations conferred risk to high myopia in the Han Chinese population, we genotyped 1,461 individuals (940 controls and 521 cases samples) recruited of Han Chinese origin. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 40% |
| Scientists | 2 | 40% |
| Members of the public | 1 | 20% |
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 % |
|---|---|---|
| United States | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Student > Bachelor | 4 | 17% |
| Student > Master | 3 | 13% |
| Student > Doctoral Student | 2 | 8% |
| Researcher | 2 | 8% |
| Other | 5 | 21% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 29% |
| Biochemistry, Genetics and Molecular Biology | 4 | 17% |
| Agricultural and Biological Sciences | 4 | 17% |
| Nursing and Health Professions | 1 | 4% |
| Sports and Recreations | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 6 | 25% |
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 27 April 2014.
All research outputs
#15,169,543
of 25,374,647 outputs
Outputs from BMC Genomic Data
#480
of 1,204 outputs
Outputs of similar age
#122,601
of 241,070 outputs
Outputs of similar age from BMC Genomic Data
#8
of 22 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 58% 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 241,070 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 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.