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Performance of several models for predicting budburst date of grapevine (Vitis vinifera L.)

Overview of attention for article published in International Journal of Biometeorology, March 2009
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
129 Dimensions

Readers on

mendeley
163 Mendeley
citeulike
1 CiteULike
Title
Performance of several models for predicting budburst date of grapevine (Vitis vinifera L.)
Published in
International Journal of Biometeorology, March 2009
DOI 10.1007/s00484-009-0217-4
Pubmed ID
Authors

Iñaki García de Cortázar-Atauri, Nadine Brisson, Jean Pierre Gaudillere

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
United States 1 <1%
Unknown 158 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 28%
Student > Ph. D. Student 35 21%
Student > Master 14 9%
Student > Bachelor 10 6%
Student > Doctoral Student 9 6%
Other 17 10%
Unknown 32 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 80 49%
Environmental Science 20 12%
Earth and Planetary Sciences 10 6%
Engineering 5 3%
Mathematics 2 1%
Other 7 4%
Unknown 39 24%
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 04 January 2017.
All research outputs
#7,503,741
of 22,925,760 outputs
Outputs from International Journal of Biometeorology
#677
of 1,297 outputs
Outputs of similar age
#33,199
of 94,637 outputs
Outputs of similar age from International Journal of Biometeorology
#4
of 4 outputs
Altmetric has tracked 22,925,760 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 1,297 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 32nd percentile – i.e., 32% 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 94,637 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.