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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Whole-Exome Sequencing for the Identification of Susceptibility Genes of Kashin–Beck Disease
|
|---|---|
| Published in |
PLOS ONE, April 2014
|
| DOI | 10.1371/journal.pone.0092298 |
| Pubmed ID | |
| Authors |
Zhenxing Yang, Yu Xu, Hongrong Luo, Xiaohong Ma, Qiang Wang, Yingcheng Wang, Wei Deng, Tao Jiang, Guangqing Sun, Tingting He, Jingchu Hu, Yingrui Li, Jun Wang, Tao Li, Xun Hu |
| Abstract |
To identify and investigate the susceptibility genes of Kashin-Beck disease (KBD) in Chinese population. |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 1 | 17% |
| China | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 23% |
| Student > Ph. D. Student | 6 | 19% |
| Student > Master | 4 | 13% |
| Professor | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 23% |
| Medicine and Dentistry | 5 | 16% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Computer Science | 3 | 10% |
| Nursing and Health Professions | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 6 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 07 May 2014.
All research outputs
#12,705,236
of 22,754,104 outputs
Outputs from PLOS ONE
#98,424
of 194,175 outputs
Outputs of similar age
#105,013
of 227,639 outputs
Outputs of similar age from PLOS ONE
#2,240
of 4,902 outputs
Altmetric has tracked 22,754,104 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,175 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 48th percentile – i.e., 48% 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 227,639 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 4,902 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 53% of its contemporaries.