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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PARma: identification of microRNA target sites in AGO-PAR-CLIP data
|
|---|---|
| Published in |
Genome Biology, July 2013
|
| DOI | 10.1186/gb-2013-14-7-r79 |
| Pubmed ID | |
| Authors |
Florian Erhard, Lars Dölken, Lukasz Jaskiewicz, Ralf Zimmer |
| Abstract |
PARma is a complete data analysis software for AGO-PAR-CLIP experiments to identify target sites of microRNAs as well as the microRNA binding to these sites. It integrates specific characteristics of the experiments into a generative model. The model and a novel pattern discovery tool are iteratively applied to data to estimate seed activity probabilities, cluster confidence scores and to assign the most probable microRNA. Based on differential PAR-CLIP analysis and comparison to RIP-Chip data, we show that PARma is more accurate than existing approaches. PARma is available from http://www.bio.ifi.lmu.de/PARma. |
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 States | 1 | 33% |
| United Kingdom | 1 | 33% |
| Chile | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| France | 1 | 1% |
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 71 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 29% |
| Researcher | 13 | 17% |
| Student > Master | 10 | 13% |
| Student > Bachelor | 8 | 11% |
| Professor > Associate Professor | 7 | 9% |
| Other | 14 | 18% |
| Unknown | 2 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 45% |
| Biochemistry, Genetics and Molecular Biology | 20 | 26% |
| Computer Science | 12 | 16% |
| Engineering | 3 | 4% |
| Medicine and Dentistry | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 2 | 3% |
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 31 July 2013.
All research outputs
#16,722,190
of 25,374,917 outputs
Outputs from Genome Biology
#4,055
of 4,467 outputs
Outputs of similar age
#127,985
of 209,995 outputs
Outputs of similar age from Genome Biology
#51
of 63 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 8th percentile – i.e., 8% 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 209,995 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.