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proTRAC - a software for probabilistic piRNA cluster detection, visualization and analysis

Overview of attention for article published in BMC Bioinformatics, January 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
1 tweeter
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
116 Dimensions

Readers on

mendeley
133 Mendeley
citeulike
4 CiteULike
Title
proTRAC - a software for probabilistic piRNA cluster detection, visualization and analysis
Published in
BMC Bioinformatics, January 2012
DOI 10.1186/1471-2105-13-5
Pubmed ID
Authors

David Rosenkranz, Hans Zischler

Abstract

Throughout the metazoan lineage, typically gonadal expressed Piwi proteins and their guiding piRNAs (~26-32nt in length) form a protective mechanism of RNA interference directed against the propagation of transposable elements (TEs). Most piRNAs are generated from genomic piRNA clusters. Annotation of experimentally obtained piRNAs from small RNA/cDNA-libraries and detection of genomic piRNA clusters are crucial for a thorough understanding of the still enigmatic piRNA pathway, especially in an evolutionary context. Currently, detection of piRNA clusters relies on bioinformatics rather than detection and sequencing of primary piRNA cluster transcripts and the stringency of the methods applied in different studies differs considerably. Additionally, not all important piRNA cluster characteristics were taken into account during bioinformatic processing. Depending on the applied method this can lead to: i) an accidentally underrepresentation of TE related piRNAs, ii) overlook duplicated clusters harboring few or no single-copy loci and iii) false positive annotation of clusters that are in fact just accumulations of multi-copy loci corresponding to frequently mapped reads, but are not transcribed to piRNA precursors.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Germany 2 2%
Brazil 1 <1%
Norway 1 <1%
United Kingdom 1 <1%
Sweden 1 <1%
Unknown 124 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 27%
Researcher 35 26%
Student > Master 16 12%
Student > Bachelor 12 9%
Student > Postgraduate 9 7%
Other 18 14%
Unknown 7 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 68 51%
Biochemistry, Genetics and Molecular Biology 39 29%
Computer Science 7 5%
Engineering 3 2%
Medicine and Dentistry 2 2%
Other 4 3%
Unknown 10 8%

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 19 December 2016.
All research outputs
#1,876,959
of 7,925,752 outputs
Outputs from BMC Bioinformatics
#1,273
of 3,510 outputs
Outputs of similar age
#21,337
of 94,171 outputs
Outputs of similar age from BMC Bioinformatics
#36
of 96 outputs
Altmetric has tracked 7,925,752 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,510 research outputs from this source. They receive a mean Attention Score of 4.9. 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 94,171 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.