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X Demographics
Mendeley readers
Attention Score in Context
| Title |
mirPRo–a novel standalone program for differential expression and variation analysis of miRNAs
|
|---|---|
| Published in |
Scientific Reports, October 2015
|
| DOI | 10.1038/srep14617 |
| Pubmed ID | |
| Authors |
Jieming Shi, Min Dong, Lei Li, Lin Liu, Agustin Luz-Madrigal, Panagiotis A. Tsonis, Katia Del Rio-Tsonis, Chun Liang |
| Abstract |
Being involved in many important biological processes, miRNAs can regulate gene expression by targeting mRNAs to facilitate their degradation or translational inhibition. Many miRNA sequencing studies reveal that miRNA variations such as isomiRs and "arm switching" are biologically relevant. However, existing standalone tools usually do not provide comprehensive, detailed information on miRNA variations. To deepen our understanding of miRNA variability, we developed a new standalone tool called "mirPRo" to quantify known miRNAs and predict novel miRNAs. Compared with the most widely used standalone program, miRDeep2, mirPRo offers several new functions including read cataloging based on genome annotation, optional seed region check, miRNA family expression quantification, isomiR identification and categorization, and "arm switching" detection. Our comparative data analyses using three datasets from mouse, human and chicken demonstrate that mirPRo is more accurate than miRDeep2 by avoiding over-counting of sequence reads and by implementing different approaches in adapter trimming, mapping and quantification. mirPRo is an open-source standalone program (https://sourceforge.net/projects/mirpro/). |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | <1% |
| Italy | 1 | <1% |
| Hong Kong | 1 | <1% |
| Czechia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Denmark | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 101 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 29% |
| Researcher | 30 | 28% |
| Student > Master | 13 | 12% |
| Student > Doctoral Student | 8 | 7% |
| Student > Bachelor | 6 | 6% |
| Other | 10 | 9% |
| Unknown | 10 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 42% |
| Biochemistry, Genetics and Molecular Biology | 36 | 33% |
| Medicine and Dentistry | 4 | 4% |
| Computer Science | 3 | 3% |
| Neuroscience | 3 | 3% |
| Other | 1 | <1% |
| Unknown | 16 | 15% |
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 03 August 2016.
All research outputs
#13,900,658
of 23,577,761 outputs
Outputs from Scientific Reports
#63,545
of 127,567 outputs
Outputs of similar age
#133,554
of 279,020 outputs
Outputs of similar age from Scientific Reports
#1,186
of 2,355 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127,567 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.4. This one is in the 48th percentile – i.e., 48% 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 279,020 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 50% of its contemporaries.
We're also able to compare this research output to 2,355 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.