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PREP-Mt: predictive RNA editor for plant mitochondrial genes

Overview of attention for article published in BMC Bioinformatics, April 2005
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Mentioned by

wikipedia
4 Wikipedia pages

Citations

dimensions_citation
127 Dimensions

Readers on

mendeley
59 Mendeley
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Title
PREP-Mt: predictive RNA editor for plant mitochondrial genes
Published in
BMC Bioinformatics, April 2005
DOI 10.1186/1471-2105-6-96
Pubmed ID
Authors

Jeffrey P Mower

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Germany 1 2%
Unknown 56 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 32%
Researcher 13 22%
Student > Master 6 10%
Student > Bachelor 5 8%
Student > Doctoral Student 2 3%
Other 7 12%
Unknown 7 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 34%
Computer Science 12 20%
Biochemistry, Genetics and Molecular Biology 7 12%
Environmental Science 2 3%
Engineering 2 3%
Other 7 12%
Unknown 9 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 October 2020.
All research outputs
#7,543,662
of 23,015,156 outputs
Outputs from BMC Bioinformatics
#3,041
of 7,315 outputs
Outputs of similar age
#20,508
of 58,680 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 14 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,315 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 50% 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 58,680 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.