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Application of Genomic Technologies to the Breeding of Trees

Overview of attention for article published in Frontiers in Genetics, November 2016
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2 X users

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109 Mendeley
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1 CiteULike
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Title
Application of Genomic Technologies to the Breeding of Trees
Published in
Frontiers in Genetics, November 2016
DOI 10.3389/fgene.2016.00198
Pubmed ID
Authors

Maria L. Badenes, Angel Fernández i Martí, Gabino Ríos, María J. Rubio-Cabetas

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Unknown 108 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 26%
Student > Ph. D. Student 22 20%
Student > Master 13 12%
Student > Bachelor 9 8%
Student > Doctoral Student 6 6%
Other 18 17%
Unknown 13 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 55%
Biochemistry, Genetics and Molecular Biology 17 16%
Environmental Science 4 4%
Business, Management and Accounting 1 <1%
Computer Science 1 <1%
Other 6 6%
Unknown 20 18%
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 27 November 2016.
All research outputs
#20,567,353
of 26,017,215 outputs
Outputs from Frontiers in Genetics
#6,966
of 13,784 outputs
Outputs of similar age
#231,797
of 316,304 outputs
Outputs of similar age from Frontiers in Genetics
#33
of 45 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,784 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 41st percentile – i.e., 41% 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 316,304 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.