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True lemurs…true species - species delimitation using multiple data sources in the brown lemur complex

Overview of attention for article published in BMC Evolutionary Biology, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

twitter
3 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
84 Mendeley
citeulike
2 CiteULike
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Title
True lemurs…true species - species delimitation using multiple data sources in the brown lemur complex
Published in
BMC Evolutionary Biology, January 2013
DOI 10.1186/1471-2148-13-233
Pubmed ID
Authors

Matthias Markolf, Hanitriniaina Rakotonirina, Claudia Fichtel, Phillip von Grumbkow, Markus Brameier, Peter M Kappeler

Abstract

Species are the fundamental units in evolutionary biology. However, defining them as evolutionary independent lineages requires integration of several independent sources of information in order to develop robust hypotheses for taxonomic classification. Here, we exemplarily propose an integrative framework for species delimitation in the "brown lemur complex" (BLC) of Madagascar, which consists of seven allopatric populations of the genus Eulemur (Primates: Lemuridae), which were sampled extensively across northern, eastern and western Madagascar to collect fecal samples for DNA extraction as well as recordings of vocalizations. Our data base was extended by including museum specimens with reliable identification and locality information for skull shape and pelage color analysis.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Germany 1 1%
Portugal 1 1%
Brazil 1 1%
Serbia 1 1%
Unknown 77 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 26%
Student > Master 19 23%
Researcher 15 18%
Student > Bachelor 6 7%
Student > Postgraduate 4 5%
Other 11 13%
Unknown 7 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 65%
Environmental Science 6 7%
Earth and Planetary Sciences 4 5%
Biochemistry, Genetics and Molecular Biology 3 4%
Computer Science 2 2%
Other 5 6%
Unknown 9 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 October 2013.
All research outputs
#5,139,188
of 18,187,474 outputs
Outputs from BMC Evolutionary Biology
#1,240
of 2,813 outputs
Outputs of similar age
#53,915
of 197,175 outputs
Outputs of similar age from BMC Evolutionary Biology
#3
of 3 outputs
Altmetric has tracked 18,187,474 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 2,813 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has gotten more attention than average, scoring higher than 54% 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 197,175 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.