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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Different effects of the probe summarization algorithms PLIER and RMA on high-level analysis of Affymetrix exon arrays
|
|---|---|
| Published in |
BMC Bioinformatics, April 2010
|
| DOI | 10.1186/1471-2105-11-211 |
| Pubmed ID | |
| Authors |
Yi Qu, Fei He, Yuchen Chen |
| Abstract |
Alternative splicing is an important mechanism that increases protein diversity and functionality in higher eukaryotes. Affymetrix exon arrays are a commercialized platform used to detect alternative splicing on a genome-wide scale. Two probe summarization algorithms, PLIER (Probe Logarithmic Intensity Error) and RMA (Robust Multichip Average), are commonly used to compute gene-level and exon-level expression values. However, a systematic comparison of these two algorithms on their effects on high-level analysis of the arrays has not yet been reported. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 47 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 33% |
| Researcher | 12 | 24% |
| Student > Master | 8 | 16% |
| Student > Postgraduate | 3 | 6% |
| Professor > Associate Professor | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 49% |
| Biochemistry, Genetics and Molecular Biology | 10 | 20% |
| Medicine and Dentistry | 6 | 12% |
| Computer Science | 3 | 6% |
| Psychology | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 3 | 6% |
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 06 August 2014.
All research outputs
#7,171,608
of 22,671,366 outputs
Outputs from BMC Bioinformatics
#2,858
of 7,247 outputs
Outputs of similar age
#33,491
of 95,399 outputs
Outputs of similar age from BMC Bioinformatics
#35
of 69 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 58% 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 95,399 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 64% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.