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In Silico and Quantitative Analyses of MADS-Box Genes in Coffea arabica

Overview of attention for article published in Plant Molecular Biology Reporter, January 2010
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Mentioned by

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1 YouTube creator

Citations

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23 Dimensions

Readers on

mendeley
29 Mendeley
citeulike
2 CiteULike
Title
In Silico and Quantitative Analyses of MADS-Box Genes in Coffea arabica
Published in
Plant Molecular Biology Reporter, January 2010
DOI 10.1007/s11105-009-0173-5
Authors

Raphael Ricon de Oliveira, Antonio Chalfun-Junior, Luciano Vilela Paiva, Alan Carvalho Andrade

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 8 28%
Student > Master 6 21%
Researcher 5 17%
Student > Bachelor 2 7%
Student > Postgraduate 2 7%
Other 3 10%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 72%
Biochemistry, Genetics and Molecular Biology 3 10%
Unknown 5 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 November 2016.
All research outputs
#20,355,479
of 22,903,988 outputs
Outputs from Plant Molecular Biology Reporter
#326
of 353 outputs
Outputs of similar age
#158,015
of 165,145 outputs
Outputs of similar age from Plant Molecular Biology Reporter
#6
of 6 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 353 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% 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 165,145 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.