↓ Skip to main content

Phenotypic plasticity, QTL mapping and genomic characterization of bud set in black poplar

Overview of attention for article published in BMC Plant Biology, April 2012
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
62 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Phenotypic plasticity, QTL mapping and genomic characterization of bud set in black poplar
Published in
BMC Plant Biology, April 2012
DOI 10.1186/1471-2229-12-47
Pubmed ID
Authors

Francesco Fabbrini, Muriel Gaudet, Catherine Bastien, Giusi Zaina, Antoine Harfouche, Isacco Beritognolo, Nicolas Marron, Michele Morgante, Giuseppe Scarascia-Mugnozza, Maurizio Sabatti

Abstract

The genetic control of important adaptive traits, such as bud set, is still poorly understood in most forest trees species. Poplar is an ideal model tree to study bud set because of its indeterminate shoot growth. Thus, a full-sib family derived from an intraspecific cross of P. nigra with 162 clonally replicated progeny was used to assess the phenotypic plasticity and genetic variation of bud set in two sites of contrasting environmental conditions.

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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Spain 1 2%
Poland 1 2%
Italy 1 2%
Unknown 57 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 37%
Student > Ph. D. Student 19 31%
Student > Doctoral Student 4 6%
Student > Master 4 6%
Other 3 5%
Other 6 10%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 73%
Environmental Science 3 5%
Chemical Engineering 1 2%
Business, Management and Accounting 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 4 6%
Unknown 7 11%

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 03 April 2012.
All research outputs
#12,664,205
of 15,948,319 outputs
Outputs from BMC Plant Biology
#1,431
of 2,304 outputs
Outputs of similar age
#93,049
of 126,718 outputs
Outputs of similar age from BMC Plant Biology
#1
of 1 outputs
Altmetric has tracked 15,948,319 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,304 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 24th percentile – i.e., 24% 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 126,718 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them