↓ Skip to main content

Ampelometric Leaf Trait and SSR Loci Selection for a Multivariate Statistical Approach in Vitis vinifera L. Biodiversity Management

Overview of attention for article published in Molecular Biotechnology, March 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
1 X user

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
20 Mendeley
Title
Ampelometric Leaf Trait and SSR Loci Selection for a Multivariate Statistical Approach in Vitis vinifera L. Biodiversity Management
Published in
Molecular Biotechnology, March 2015
DOI 10.1007/s12033-015-9862-5
Pubmed ID
Authors

Vittorio Alba, Carlo Bergamini, Rosalinda Genghi, Marica Gasparro, Rocco Perniola, Donato Antonacci

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 25%
Professor > Associate Professor 3 15%
Other 2 10%
Student > Ph. D. Student 2 10%
Student > Master 1 5%
Other 3 15%
Unknown 4 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 65%
Environmental Science 1 5%
Computer Science 1 5%
Earth and Planetary Sciences 1 5%
Chemistry 1 5%
Other 0 0%
Unknown 3 15%
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 15 April 2016.
All research outputs
#17,932,284
of 26,017,215 outputs
Outputs from Molecular Biotechnology
#748
of 1,161 outputs
Outputs of similar age
#175,362
of 281,181 outputs
Outputs of similar age from Molecular Biotechnology
#7
of 19 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,161 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 27th percentile – i.e., 27% 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 281,181 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 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 57% of its contemporaries.