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Conservation Priorities for Prunus africana Defined with the Aid of Spatial Analysis of Genetic Data and Climatic Variables

Overview of attention for article published in PLOS ONE, March 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
2 blogs
policy
2 policy sources

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
179 Mendeley
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1 CiteULike
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Title
Conservation Priorities for Prunus africana Defined with the Aid of Spatial Analysis of Genetic Data and Climatic Variables
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0059987
Pubmed ID
Authors

Barbara Vinceti, Judy Loo, Hannes Gaisberger, Maarten J. van Zonneveld, Silvio Schueler, Heino Konrad, Caroline A. C. Kadu, Thomas Geburek

Abstract

Conservation priorities for Prunus africana, a tree species found across Afromontane regions, which is of great commercial interest internationally and of local value for rural communities, were defined with the aid of spatial analyses applied to a set of georeferenced molecular marker data (chloroplast and nuclear microsatellites) from 32 populations in 9 African countries. Two approaches for the selection of priority populations for conservation were used, differing in the way they optimize representation of intra-specific diversity of P. africana across a minimum number of populations. The first method (S1) was aimed at maximizing genetic diversity of the conservation units and their distinctiveness with regard to climatic conditions, the second method (S2) at optimizing representativeness of the genetic diversity found throughout the species' range. Populations in East African countries (especially Kenya and Tanzania) were found to be of great conservation value, as suggested by previous findings. These populations are complemented by those in Madagascar and Cameroon. The combination of the two methods for prioritization led to the identification of a set of 6 priority populations. The potential distribution of P. africana was then modeled based on a dataset of 1,500 georeferenced observations. This enabled an assessment of whether the priority populations identified are exposed to threats from agricultural expansion and climate change, and whether they are located within the boundaries of protected areas. The range of the species has been affected by past climate change and the modeled distribution of P. africana indicates that the species is likely to be negatively affected in future, with an expected decrease in distribution by 2050. Based on these insights, further research at the regional and national scale is recommended, in order to strengthen P. africana conservation efforts.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 2%
United States 2 1%
Netherlands 1 <1%
Italy 1 <1%
Germany 1 <1%
Austria 1 <1%
Colombia 1 <1%
Denmark 1 <1%
Canada 1 <1%
Other 0 0%
Unknown 167 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 20%
Student > Ph. D. Student 30 17%
Student > Doctoral Student 19 11%
Student > Master 15 8%
Other 14 8%
Other 33 18%
Unknown 32 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 44%
Environmental Science 29 16%
Biochemistry, Genetics and Molecular Biology 14 8%
Earth and Planetary Sciences 7 4%
Social Sciences 3 2%
Other 12 7%
Unknown 35 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 01 April 2022.
All research outputs
#1,909,905
of 23,460,553 outputs
Outputs from PLOS ONE
#24,320
of 200,872 outputs
Outputs of similar age
#16,006
of 199,496 outputs
Outputs of similar age from PLOS ONE
#575
of 5,345 outputs
Altmetric has tracked 23,460,553 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 200,872 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done well, scoring higher than 87% 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 199,496 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 5,345 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.