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Exploring the floristic diversity of tropical Africa

Overview of attention for article published in BMC Biology, March 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

3 blogs
49 tweeters
1 Facebook page
1 video uploader


70 Dimensions

Readers on

192 Mendeley
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Exploring the floristic diversity of tropical Africa
Published in
BMC Biology, March 2017
DOI 10.1186/s12915-017-0356-8
Pubmed ID

Marc S. M. Sosef, Gilles Dauby, Anne Blach-Overgaard, Xander van der Burgt, Luís Catarino, Theo Damen, Vincent Deblauwe, Steven Dessein, John Dransfield, Vincent Droissart, Maria Cristina Duarte, Henry Engledow, Geoffrey Fadeur, Rui Figueira, Roy E. Gereau, Olivier J. Hardy, David J. Harris, Janneke de Heij, Steven Janssens, Yannick Klomberg, Alexandra C. Ley, Barbara A. Mackinder, Pierre Meerts, Jeike L. van de Poel, Bonaventure Sonké, Tariq Stévart, Piet Stoffelen, Jens-Christian Svenning, Pierre Sepulchre, Rainer Zaiss, Jan J. Wieringa, Thomas L. P. Couvreur


Understanding the patterns of biodiversity distribution and what influences them is a fundamental pre-requisite for effective conservation and sustainable utilisation of biodiversity. Such knowledge is increasingly urgent as biodiversity responds to the ongoing effects of global climate change. Nowhere is this more acute than in species-rich tropical Africa, where so little is known about plant diversity and its distribution. In this paper, we use RAINBIO - one of the largest mega-databases of tropical African vascular plant species distributions ever compiled - to address questions about plant and growth form diversity across tropical Africa. The filtered RAINBIO dataset contains 609,776 georeferenced records representing 22,577 species. Growth form data are recorded for 97% of all species. Records are well distributed, but heterogeneous across the continent. Overall, tropical Africa remains poorly sampled. When using sampling units (SU) of 0.5°, just 21 reach appropriate collection density and sampling completeness, and the average number of records per species per SU is only 1.84. Species richness (observed and estimated) and endemism figures per country are provided. Benin, Cameroon, Gabon, Ivory Coast and Liberia appear as the botanically best-explored countries, but none are optimally explored. Forests in the region contain 15,387 vascular plant species, of which 3013 are trees, representing 5-7% of the estimated world's tropical tree flora. The central African forests have the highest endemism rate across Africa, with approximately 30% of species being endemic. The botanical exploration of tropical Africa is far from complete, underlining the need for intensified inventories and digitization. We propose priority target areas for future sampling efforts, mainly focused on Tanzania, Atlantic Central Africa and West Africa. The observed number of tree species for African forests is smaller than those estimated from global tree data, suggesting that a significant number of species are yet to be discovered. Our data provide a solid basis for a more sustainable management and improved conservation of tropical Africa's unique flora, and is important for achieving Objective 1 of the Global Strategy for Plant Conservation 2011-2020. In turn, RAINBIO provides a solid basis for a more sustainable management and improved conservation of tropical Africa's unique flora.

Twitter Demographics

The data shown below were collected from the profiles of 49 tweeters 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 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Cameroon 1 <1%
United States 1 <1%
Sweden 1 <1%
Unknown 188 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 22%
Researcher 42 22%
Student > Master 26 14%
Student > Doctoral Student 11 6%
Student > Bachelor 8 4%
Other 32 17%
Unknown 31 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 87 45%
Environmental Science 38 20%
Biochemistry, Genetics and Molecular Biology 10 5%
Earth and Planetary Sciences 6 3%
Business, Management and Accounting 3 2%
Other 11 6%
Unknown 37 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 48. 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 28 September 2020.
All research outputs
of 18,197,695 outputs
Outputs from BMC Biology
of 1,569 outputs
Outputs of similar age
of 269,245 outputs
Outputs of similar age from BMC Biology
of 1 outputs
Altmetric has tracked 18,197,695 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,569 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. This one has done particularly well, scoring higher than 91% 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 269,245 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 94% of its contemporaries.
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