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Mendeley readers
Attention Score in Context
Title |
Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targets
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Published in |
BMC Systems Biology, January 2014
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DOI | 10.1186/1752-0509-8-s1-s4 |
Pubmed ID | |
Authors |
Ryoichi Kinoshita, Mitsuo Iwadate, Hideaki Umeyama, Y-h Taguchi |
Abstract |
Aberrant DNA methylation is often associated with cancers. Thus, screening genes with cancer-associated aberrant DNA methylation is a useful method to identify candidate cancer-causing genes. Aberrant DNA methylation is also genotype dependent. Thus, the selection of genes with genotype-specific aberrant DNA methylation in cancers is potentially important for tailor-made medicine. The selected genes are important candidate drug targets. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 38% |
Researcher | 3 | 23% |
Student > Doctoral Student | 1 | 8% |
Professor | 1 | 8% |
Student > Bachelor | 1 | 8% |
Other | 2 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 4 | 31% |
Computer Science | 2 | 15% |
Nursing and Health Professions | 2 | 15% |
Mathematics | 1 | 8% |
Medicine and Dentistry | 1 | 8% |
Other | 1 | 8% |
Unknown | 2 | 15% |
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 23 August 2023.
All research outputs
#15,335,633
of 24,311,255 outputs
Outputs from BMC Systems Biology
#549
of 1,129 outputs
Outputs of similar age
#181,760
of 315,853 outputs
Outputs of similar age from BMC Systems Biology
#23
of 51 outputs
Altmetric has tracked 24,311,255 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,129 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 47th percentile – i.e., 47% 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 315,853 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 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 52% of its contemporaries.