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Spatio-temporal flowering patterns in Mediterranean Poaceae. A community study in SW Spain

Overview of attention for article published in International Journal of Biometeorology, October 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 blog
twitter
1 X user
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1 Facebook page

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21 Mendeley
Title
Spatio-temporal flowering patterns in Mediterranean Poaceae. A community study in SW Spain
Published in
International Journal of Biometeorology, October 2017
DOI 10.1007/s00484-017-1461-7
Pubmed ID
Authors

J. Cebrino, J. L. García-Castaño, E. Domínguez-Vilches, C. Galán

Abstract

This study focused on phenological timing and spatial patterns in 30 Poaceae species flowering in spring in different types of plant cover (scrub, riverbank and pasture). Grass community composition was studied, and the influence of species and plant cover on the start date and duration of flowering was assessed from March to June in both 2014 and 2015. Twenty-nine sampling sites were selected for phenological monitoring using the BBCH scale. Data were subjected to GLMM analyses. Binary discriminant analysis revealed differences in grass community composition as a function of plant cover type; scrub cover comprised a considerably larger number of species than those in riverbank and pasture. Moreover, more species diversity was observed in 2014 than in 2015 with a drier and stressed pre-flowering period. Differences on phenology were also recorded between plant cover types and study years. Species in pasture and riverbank flowered before (113.4 days; 116.1 days) than species in scrub (120.9 days), being these species with shorter flowering length because they are more exposed to the characteristic of the Mediterranean region during the summer. In general, flowering onset occurred later in 2014 (118.2 days) than in 2015 (115.8 days), probably attributable to precipitation occurring during March. On the other hand, spatial autocorrelation within some cover types has been observed, showing spatial patterns exist at a smaller scale. The findings of this study contribute to a better understanding of grass phenology in different environments.

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

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Professor 5 24%
Researcher 3 14%
Lecturer 2 10%
Student > Bachelor 2 10%
Student > Ph. D. Student 1 5%
Other 2 10%
Unknown 6 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 29%
Environmental Science 3 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Nursing and Health Professions 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 2 10%
Unknown 7 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 13 October 2017.
All research outputs
#2,593,319
of 23,005,189 outputs
Outputs from International Journal of Biometeorology
#259
of 1,299 outputs
Outputs of similar age
#51,476
of 324,048 outputs
Outputs of similar age from International Journal of Biometeorology
#16
of 37 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,299 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 78% of its peers.
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 324,048 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.