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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of Sequence Variants in Genetic Disease-Causing Genes Using Targeted Next-Generation Sequencing
|
|---|---|
| Published in |
PLOS ONE, December 2011
|
| DOI | 10.1371/journal.pone.0029500 |
| Pubmed ID | |
| Authors |
Xiaoming Wei, Xiangchun Ju, Xin Yi, Qian Zhu, Ning Qu, Tengfei Liu, Yang Chen, Hui Jiang, Guanghui Yang, Ruan Zhen, Zhangzhang Lan, Ming Qi, Jinming Wang, Yi Yang, Yuxing Chu, Xiaoyan Li, Yanfang Guang, Jian Huang |
| Abstract |
Identification of gene variants plays an important role in research on and diagnosis of genetic diseases. A combination of enrichment of targeted genes and next-generation sequencing (targeted DNA-HiSeq) results in both high efficiency and low cost for targeted sequencing of genes of interest. |
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 % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 2 | 2% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Denmark | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 107 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 25% |
| Student > Ph. D. Student | 16 | 14% |
| Student > Master | 11 | 9% |
| Student > Bachelor | 10 | 9% |
| Other | 8 | 7% |
| Other | 19 | 16% |
| Unknown | 23 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 38% |
| Biochemistry, Genetics and Molecular Biology | 15 | 13% |
| Medicine and Dentistry | 15 | 13% |
| Neuroscience | 3 | 3% |
| Computer Science | 3 | 3% |
| Other | 9 | 8% |
| Unknown | 27 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 22 October 2019.
All research outputs
#6,989,215
of 22,914,829 outputs
Outputs from PLOS ONE
#82,853
of 195,377 outputs
Outputs of similar age
#64,023
of 243,797 outputs
Outputs of similar age from PLOS ONE
#906
of 2,927 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 195,377 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 56% 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 243,797 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 72% of its contemporaries.
We're also able to compare this research output to 2,927 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 66% of its contemporaries.