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Unveiling cryptic species diversity of flowering plants: successful biological species identification of Asian Mitella using nuclear ribosomal DNA sequences

Overview of attention for article published in BMC Evolutionary Biology, January 2009
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
20 tweeters

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
79 Mendeley
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Title
Unveiling cryptic species diversity of flowering plants: successful biological species identification of Asian Mitella using nuclear ribosomal DNA sequences
Published in
BMC Evolutionary Biology, January 2009
DOI 10.1186/1471-2148-9-105
Authors

Yudai Okuyama, Makoto Kato

Twitter Demographics

The data shown below were collected from the profiles of 20 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 3 4%
United States 3 4%
Netherlands 1 1%
Canada 1 1%
Unknown 71 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 25%
Student > Ph. D. Student 15 19%
Student > Master 10 13%
Student > Bachelor 7 9%
Professor 7 9%
Other 15 19%
Unknown 5 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 73%
Biochemistry, Genetics and Molecular Biology 6 8%
Environmental Science 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Computer Science 1 1%
Other 3 4%
Unknown 8 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 09 October 2021.
All research outputs
#2,467,342
of 20,710,163 outputs
Outputs from BMC Evolutionary Biology
#621
of 2,871 outputs
Outputs of similar age
#30,189
of 273,621 outputs
Outputs of similar age from BMC Evolutionary Biology
#28
of 142 outputs
Altmetric has tracked 20,710,163 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 2,871 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. 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 273,621 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 88% of its contemporaries.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.