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Cited by 791

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Identification of Enterococcus species isolated from human infections by a conventional test scheme

Open access
Facklam, R R, Collins, M D·1989·Journal of Clinical Microbiology

Abstract

Streptococci (206 cultures) previously identified as enterococci were retrieved from storage and reidentified by using tests designed to identify species of the genus Enterococcus. Of these 188, 91% were correctly identified as Enterococcus species. Of the remaining strains, nine (4%) were unidentified and six (3%) and 3 (1.5%) were identified as Leuconostoc sp. and Lactococcus sp., respectively. Two new Enterococcus species were discovered: E. raffinosus and E. solitarius. DNA-DNA hybridizations were performed on selected strains to assure correct identification. Cultures representing 10 of the 12 Enterococcus species were among the 188 strains identified. An identification system based on the grouping of key reactions of 20 phenotypic characteristics of Enterococcus species is described.

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Crossref · 10.1128/jcm.27.4.731-734.1989

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Metadata

Authors
Facklam, R. R., & Collins, M. D.
Venue
Journal of Clinical Microbiology
Published
1989-04
Volume
27
Issue
4
Pages
731-734
ISSN
  • 0095-1137 (ISSN-L)
  • 1098-660X
OpenAlex
W1928483520
Cited by
791
References
2
FWCI
20.05
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Identification of Enterococcus species isolated from human infections by a conventional test scheme. https://app.cochat.ai/papers/10.1128/jcm.27.4.731-734.1989
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Facklam, R. R., & Collins, M. D. (1989). Identification of Enterococcus species isolated from human infections by a conventional test scheme. Journal of Clinical Microbiology. https://doi.org/10.1128/jcm.27.4.731-734.1989

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.