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Other literature type . 2018
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ZENODO
Other literature type . 2018
License: CC 0
Data sources: Datacite
ZENODO
Other literature type . 2018
License: CC 0
Data sources: Datacite
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Craseomys Miller 1900

Authors: Jo, Yeong-Seok; Baccus, John T.; Koprowski, John L.;

Craseomys Miller 1900

Abstract

Genus Craseomys Miller, 1900 Craseomys was considered a subgenus of Myodes (Musser & Carleton 2005). Based on cytochrome b, Lebedev et al. (2007) suggested the usage of a separate genus, Craseomys Miller, 1900 for the group Clethrionomys rufocanus, Clethrionomys rex, Clethrionomys andersoni and the Clethrionomys smithii complex. Both mtDNA and nDNA analyzes by Kohli et al. (2014) supported the taxonomic revision proposed by Lebedev et al. (2007). Craseomys includes two Korean species, C. rufocanus and C. regulus. Although C. regulus was once included in Eothenomys, molecular phylogeny placed Eothenomys as the closest taxon to Craseomys (Kohli et al. 2014).

Published as part of Jo, Yeong-Seok, Baccus, John T. & Koprowski, John L., 2018, Mammals of Korea: a review of their taxonomy, distribution and conservation status, pp. 1-216 in Zootaxa 4522 (1) on page 178, DOI: 10.11646/zootaxa.4522.1.1, http://zenodo.org/record/2610198

Keywords

Mammalia, Animalia, Rodentia, Biodiversity, Chordata, Craseomys, Taxonomy, Cricetidae

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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