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X Demographics
Mendeley readers
Attention Score in Context
Title |
Prognostication of patients with clear cell renal cell carcinomas based on quantification of DNA methylation levels of CpG island methylator phenotype marker genes
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Published in |
BMC Cancer, October 2014
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DOI | 10.1186/1471-2407-14-772 |
Pubmed ID | |
Authors |
Ying Tian, Eri Arai, Masahiro Gotoh, Motokiyo Komiyama, Hiroyuki Fujimoto, Yae Kanai |
Abstract |
The CpG island methylator phenotype (CIMP) of clear cell renal cell carcinomas (ccRCCs) is characterized by accumulation of DNA methylation at CpG islands and poorer patient outcome. The aim of this study was to establish criteria for prognostication of patients with ccRCCs using the ccRCC-specific CIMP marker genes. |
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 States | 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 3% |
Unknown | 33 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 29% |
Student > Ph. D. Student | 5 | 15% |
Other | 3 | 9% |
Professor | 2 | 6% |
Student > Doctoral Student | 2 | 6% |
Other | 5 | 15% |
Unknown | 7 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 14 | 41% |
Biochemistry, Genetics and Molecular Biology | 5 | 15% |
Agricultural and Biological Sciences | 4 | 12% |
Nursing and Health Professions | 1 | 3% |
Computer Science | 1 | 3% |
Other | 3 | 9% |
Unknown | 6 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 21 October 2014.
All research outputs
#18,381,794
of 22,768,097 outputs
Outputs from BMC Cancer
#5,417
of 8,278 outputs
Outputs of similar age
#185,349
of 259,226 outputs
Outputs of similar age from BMC Cancer
#122
of 176 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,278 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 21st percentile – i.e., 21% 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 259,226 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.