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X Demographics
Mendeley readers
Attention Score in Context
Title |
MOIRAI: a compact workflow system for CAGE analysis
|
---|---|
Published in |
BMC Bioinformatics, May 2014
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DOI | 10.1186/1471-2105-15-144 |
Pubmed ID | |
Authors |
Akira Hasegawa, Carsten Daub, Piero Carninci, Yoshihide Hayashizaki, Timo Lassmann |
Abstract |
Cap analysis of gene expression (CAGE) is a sequencing based technology to capture the 5' ends of RNAs in a biological sample. After mapping, a CAGE peak on the genome indicates the position of an active transcriptional start site (TSS) and the number of reads correspond to its expression level. CAGE is prominently used in both the FANTOM and ENCODE project but presently there is no software package to perform the essential data processing steps. |
X Demographics
The data shown below were collected from the profiles of 5 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 States | 1 | 20% |
France | 1 | 20% |
Germany | 1 | 20% |
Norway | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 80% |
Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 3 | 4% |
United States | 2 | 3% |
Netherlands | 1 | 1% |
Germany | 1 | 1% |
Unknown | 67 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 26% |
Student > Ph. D. Student | 18 | 24% |
Student > Master | 10 | 14% |
Professor > Associate Professor | 6 | 8% |
Student > Doctoral Student | 4 | 5% |
Other | 11 | 15% |
Unknown | 6 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 21 | 28% |
Agricultural and Biological Sciences | 20 | 27% |
Computer Science | 7 | 9% |
Medicine and Dentistry | 7 | 9% |
Social Sciences | 2 | 3% |
Other | 10 | 14% |
Unknown | 7 | 9% |
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 15 June 2014.
All research outputs
#14,195,754
of 22,756,196 outputs
Outputs from BMC Bioinformatics
#4,721
of 7,271 outputs
Outputs of similar age
#120,127
of 227,068 outputs
Outputs of similar age from BMC Bioinformatics
#82
of 149 outputs
Altmetric has tracked 22,756,196 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 7,271 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 30th percentile – i.e., 30% 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 227,068 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.