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Mendeley readers
Attention Score in Context
| Title |
Discovery of DNA methylation markers in cervical cancer using relaxation ranking
|
|---|---|
| Published in |
BMC Medical Genomics, November 2008
|
| DOI | 10.1186/1755-8794-1-57 |
| Pubmed ID | |
| Authors |
Maté Ongenaert, G Bea A Wisman, Haukeline H Volders, Alice J Koning, Ate GJ van der Zee, Wim van Criekinge, Ed Schuuring |
| Abstract |
To discover cancer specific DNA methylation markers, large-scale screening methods are widely used. The pharmacological unmasking expression microarray approach is an elegant method to enrich for genes that are silenced and re-expressed during functional reversal of DNA methylation upon treatment with demethylation agents. However, such experiments are performed in in vitro (cancer) cell lines, mostly with poor relevance when extrapolating to primary cancers. To overcome this problem, we incorporated data from primary cancer samples in the experimental design. A strategy to combine and rank data from these different data sources is essential to minimize the experimental work in the validation steps. |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 20% |
| Student > Ph. D. Student | 4 | 20% |
| Student > Bachelor | 3 | 15% |
| Student > Postgraduate | 3 | 15% |
| Researcher | 3 | 15% |
| Other | 1 | 5% |
| Unknown | 2 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 50% |
| Medicine and Dentistry | 4 | 20% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Unspecified | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 2 | 10% |
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 13 January 2015.
All research outputs
#6,410,648
of 22,776,824 outputs
Outputs from BMC Medical Genomics
#291
of 1,223 outputs
Outputs of similar age
#40,388
of 165,495 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 5 outputs
Altmetric has tracked 22,776,824 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,223 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 75% 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 165,495 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 73% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.