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Reverse Taxonomy for Elucidating Diversity of Insect-Associated Nematodes: A Case Study with Termites

Overview of attention for article published in PLOS ONE, August 2012
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3 X users
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1 Google+ user

Citations

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Title
Reverse Taxonomy for Elucidating Diversity of Insect-Associated Nematodes: A Case Study with Termites
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0043865
Pubmed ID
Authors

Natsumi Kanzaki, Robin M. Giblin-Davis, Rudolf H. Scheffrahn, Hisatomo Taki, Alejandro Esquivel, Kerrie A. Davies, E. Allen Herre

Abstract

The molecular operational taxonomic unit (MOTU) has recently been applied to microbial and microscopic animal biodiversity surveys. However, in many cases, some of the MOTUs cannot be definitively tied to any of the taxonomic groups in current databases. To surmount these limitations, the concept of "reverse taxonomy" has been proposed, i.e. to primarily list the MOTUs with morphological information, and then identify and/or describe them at genus/species level using subsamples or by re-isolating the target organisms. Nevertheless, the application of "reverse taxonomy" has not been sufficiently evaluated. Therefore, the practical applicability of "reverse taxonomy" is tested using termite-associated nematodes as a model system for phoretic/parasitic organisms which have high habitat specificity and a potential handle (their termite host species) for re-isolation attempts.

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The data shown below were collected from the profiles of 3 X users 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
South Africa 1 2%
Brazil 1 2%
Unknown 58 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 20%
Researcher 11 18%
Student > Master 9 15%
Student > Bachelor 5 8%
Professor 4 7%
Other 9 15%
Unknown 11 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 62%
Environmental Science 6 10%
Biochemistry, Genetics and Molecular Biology 2 3%
Nursing and Health Professions 1 2%
Business, Management and Accounting 1 2%
Other 0 0%
Unknown 13 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 July 2016.
All research outputs
#12,859,601
of 22,675,759 outputs
Outputs from PLOS ONE
#100,137
of 193,562 outputs
Outputs of similar age
#90,470
of 170,196 outputs
Outputs of similar age from PLOS ONE
#2,128
of 4,362 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,562 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 170,196 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,362 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.