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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Design, measurement and processing of region-specific DNA methylation assays: the mass spectrometry-based method EpiTYPER
|
|---|---|
| Published in |
Frontiers in Genetics, September 2015
|
| DOI | 10.3389/fgene.2015.00287 |
| Pubmed ID | |
| Authors |
H. Eka D. Suchiman, Roderick C. Slieker, Dennis Kremer, P. Eline Slagboom, Bastiaan T. Heijmans, Elmar W. Tobi |
| Abstract |
EpiTYPER® is a mass spectrometry-based bisulfite sequencing method that enables region-specific DNA methylation analysis in a quantitative and high-throughput fashion. The technology targets genomic regions of 100-600 base pairs and results in the quantitative measurement of DNA methylation levels largely at single-nucleotide resolution. It is particularly suitable for larger scale efforts to study candidate regions or to validate regions from genome-wide DNA methylation studies. Here, we describe in detail how to design and perform EpiTYPER measurements and preprocess the data, providing details for high quality measurements not provided in the standard EpiTYPER protocol. |
X Demographics
The data shown below were collected from the profiles of 3 X users 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 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 18% |
| Researcher | 16 | 18% |
| Student > Bachelor | 13 | 15% |
| Student > Master | 8 | 9% |
| Professor > Associate Professor | 5 | 6% |
| Other | 8 | 9% |
| Unknown | 21 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 28 | 32% |
| Agricultural and Biological Sciences | 16 | 18% |
| Medicine and Dentistry | 10 | 11% |
| Psychology | 3 | 3% |
| Unspecified | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 22 | 25% |
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 September 2015.
All research outputs
#14,238,195
of 22,828,180 outputs
Outputs from Frontiers in Genetics
#3,922
of 11,820 outputs
Outputs of similar age
#140,735
of 272,396 outputs
Outputs of similar age from Frontiers in Genetics
#32
of 66 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,820 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 62% 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 272,396 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.