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Mendeley readers
Attention Score in Context
Title |
Identification and validation of the methylation biomarkers of non-small cell lung cancer (NSCLC)
|
---|---|
Published in |
Clinical Epigenetics, January 2015
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DOI | 10.1186/s13148-014-0035-3 |
Pubmed ID | |
Authors |
Shicheng Guo, Fengyang Yan, Jibin Xu, Yang Bao, Ji Zhu, Xiaotian Wang, Junjie Wu, Yi Li, Weilin Pu, Yan Liu, Zhengwen Jiang, Yanyun Ma, Xiaofeng Chen, Momiao Xiong, Li Jin, Jiucun Wang |
Abstract |
DNA methylation was suggested as the promising biomarker for lung cancer diagnosis. However, it is a great challenge to search for the optimal combination of methylation biomarkers to obtain maximum diagnostic performance. |
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 % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 5% |
Spain | 1 | 2% |
Ukraine | 1 | 2% |
Unknown | 51 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 27% |
Researcher | 9 | 16% |
Student > Bachelor | 6 | 11% |
Student > Master | 5 | 9% |
Lecturer | 3 | 5% |
Other | 12 | 21% |
Unknown | 6 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 16 | 29% |
Agricultural and Biological Sciences | 10 | 18% |
Computer Science | 8 | 14% |
Medicine and Dentistry | 8 | 14% |
Psychology | 1 | 2% |
Other | 3 | 5% |
Unknown | 10 | 18% |
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 09 February 2015.
All research outputs
#13,932,941
of 22,787,797 outputs
Outputs from Clinical Epigenetics
#702
of 1,249 outputs
Outputs of similar age
#181,477
of 351,863 outputs
Outputs of similar age from Clinical Epigenetics
#19
of 24 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,249 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 41st percentile – i.e., 41% 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 351,863 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 24 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.