Ontology type: schema:ScholarlyArticle
2012-06-06
AUTHORSL. Klingspor, S. A. Muhammed, V. Özenci
ABSTRACTThe purpose of this investigation was to evaluate the performance of the Bactec 9240 and BacT/Alert 3D blood culture systems in the detection of Candida spp. and bacteria in simulated polymicrobial sepsis models. A total of 28 clinical isolates of Escherichia coli, Staphylococcus aureus, Candida albicans, and Candida glabrata were studied. Five polymicrobial models of C. albicans + S. aureus, C. albicans + E. coli, C. glabrata + S. aureus, C. glabrata + E. coli, and C. albicans + C. glabrata were prepared. Each combination was inoculated in five different blood culture vials. The two systems were compared for culture positivity and time to detection (TTD). Twenty-four mixed cultures with a yeast and a bacteria were tested. Bactec Mycosis vials could detect yeasts in all 24 cultures. The aerobic vials from both Bactec and BacT/Alert could detect both yeasts and bacteria in 22/24 (91.66 %) cultures. Bactec Plus Anaerobic/F and BacT/Alert FN vials could detect both microorganisms in 19/24 (79.16 %) and 4/24 (16.67 %) vials, respectively. Seven polymicrobial sepsis models with C. albicans + C. glabrata were also tested. Mycosis vials could detect both yeasts in 7/7 mixed cultures. The aerobic vials from Bactec and BacT/Alert could detect both yeasts in 3/7 and 2/7 mixed cultures, respectively. Bactec Plus Aerobic/F had a shorter TTD compared to BacT/Alert FA and Bactec Plus Anaerobic/F vials (p < 0.0001 and p < 0.01, respectively). The present study shows that the Bactec and BacT/Alert systems have different characteristics in the detection of yeasts and bacteria with polymicrobial sepsis. More... »
PAGES2983-2987
http://scigraph.springernature.com/pub.10.1007/s10096-012-1650-6
DOIhttp://dx.doi.org/10.1007/s10096-012-1650-6
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1020733477
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/22669561
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Biological Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0605",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Microbiology",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Bacteremia",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Blood",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Candida",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Candidemia",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Coinfection",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Escherichia coli",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Microbiological Techniques",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Models, Theoretical",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Sensitivity and Specificity",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Staphylococcus aureus",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Time Factors",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Division of Clinical Microbiology F 72, Karolinska Institutet, Karolinska University Hospital, 141 86, Huddinge, Stockholm, Sweden",
"id": "http://www.grid.ac/institutes/grid.24381.3c",
"name": [
"Division of Clinical Microbiology F 72, Karolinska Institutet, Karolinska University Hospital, 141 86, Huddinge, Stockholm, Sweden"
],
"type": "Organization"
},
"familyName": "Klingspor",
"givenName": "L.",
"id": "sg:person.01225075567.37",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225075567.37"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Division of Clinical Microbiology F 72, Karolinska Institutet, Karolinska University Hospital, 141 86, Huddinge, Stockholm, Sweden",
"id": "http://www.grid.ac/institutes/grid.24381.3c",
"name": [
"Division of Clinical Microbiology F 72, Karolinska Institutet, Karolinska University Hospital, 141 86, Huddinge, Stockholm, Sweden"
],
"type": "Organization"
},
"familyName": "Muhammed",
"givenName": "S. A.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Division of Clinical Microbiology F 72, Karolinska Institutet, Karolinska University Hospital, 141 86, Huddinge, Stockholm, Sweden",
"id": "http://www.grid.ac/institutes/grid.24381.3c",
"name": [
"Division of Clinical Microbiology F 72, Karolinska Institutet, Karolinska University Hospital, 141 86, Huddinge, Stockholm, Sweden"
],
"type": "Organization"
},
"familyName": "\u00d6zenci",
"givenName": "V.",
"id": "sg:person.01172255634.84",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01172255634.84"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s10096-004-1103-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051069641",
"https://doi.org/10.1007/s10096-004-1103-y"
],
"type": "CreativeWork"
}
],
"datePublished": "2012-06-06",
"datePublishedReg": "2012-06-06",
"description": "The purpose of this investigation was to evaluate the performance of the Bactec 9240 and BacT/Alert 3D blood culture systems in the detection of Candida spp. and bacteria in simulated polymicrobial sepsis models. A total of 28 clinical isolates of Escherichia coli, Staphylococcus aureus, Candida albicans, and Candida glabrata were studied. Five polymicrobial models of C. albicans + S. aureus, C. albicans + E. coli, C. glabrata + S. aureus, C. glabrata + E. coli, and C. albicans + C. glabrata were prepared. Each combination was inoculated in five different blood culture vials. The two systems were compared for culture positivity and time to detection (TTD). Twenty-four mixed cultures with a yeast and a bacteria were tested. Bactec Mycosis vials could detect yeasts in all 24 cultures. The aerobic vials from both Bactec and BacT/Alert could detect both yeasts and bacteria in 22/24 (91.66\u00a0%) cultures. Bactec Plus Anaerobic/F and BacT/Alert FN vials could detect both microorganisms in 19/24 (79.16\u00a0%) and 4/24 (16.67\u00a0%) vials, respectively. Seven polymicrobial sepsis models with C. albicans + C. glabrata were also tested. Mycosis vials could detect both yeasts in 7/7 mixed cultures. The aerobic vials from Bactec and BacT/Alert could detect both yeasts in 3/7 and 2/7 mixed cultures, respectively. Bactec Plus Aerobic/F had a shorter TTD compared to BacT/Alert FA and Bactec Plus Anaerobic/F vials (p\u2009<\u20090.0001 and p\u2009<\u20090.01, respectively). The present study shows that the Bactec and BacT/Alert systems have different characteristics in the detection of yeasts and bacteria with polymicrobial sepsis.",
"genre": "article",
"id": "sg:pub.10.1007/s10096-012-1650-6",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1093599",
"issn": [
"0934-9723",
"1435-4373"
],
"name": "European Journal of Clinical Microbiology & Infectious Diseases",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "11",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "31"
}
],
"keywords": [
"polymicrobial sepsis model",
"polymicrobial sepsis",
"sepsis model",
"blood culture system",
"C. glabrata",
"Candida spp",
"BacT/ALERT",
"C. albicans",
"S. aureus",
"aerobic vials",
"BacT/Alert FA",
"BacT/ALERT 3D",
"culture positivity",
"BACTEC Plus Aerobic/F",
"blood culture vials",
"clinical isolates",
"Plus Aerobic/F",
"BacT/Alert 3D blood culture systems",
"BacT/Alert system",
"BACTEC 9240",
"shorter TTD",
"culture system",
"polymicrobial model",
"Aerobic/F",
"sepsis",
"Staphylococcus aureus",
"Plus Anaerobic/F",
"Candida glabrata",
"BACTEC",
"glabrata",
"present study",
"aureus",
"E. coli",
"culture vials",
"Candida albicans",
"albicans",
"detection of yeasts",
"positivity",
"total",
"bacteria",
"vials",
"culture",
"alerts",
"TTD",
"isolates",
"Escherichia coli",
"coli",
"spp",
"alert system",
"detection",
"FA",
"mixed culture",
"study",
"combination",
"purpose",
"model",
"time",
"investigation",
"comparison",
"microorganisms",
"system",
"yeast",
"characteristics",
"different characteristics",
"performance"
],
"name": "Comparison of the two blood culture systems, Bactec 9240 and BacT/Alert 3D, in the detection of Candida spp. and bacteria with polymicrobial sepsis",
"pagination": "2983-2987",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1020733477"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s10096-012-1650-6"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"22669561"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s10096-012-1650-6",
"https://app.dimensions.ai/details/publication/pub.1020733477"
],
"sdDataset": "articles",
"sdDatePublished": "2022-08-04T17:00",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_582.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s10096-012-1650-6"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10096-012-1650-6'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10096-012-1650-6'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10096-012-1650-6'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10096-012-1650-6'
This table displays all metadata directly associated to this object as RDF triples.
191 TRIPLES
21 PREDICATES
103 URIs
94 LITERALS
19 BLANK NODES
Subject | Predicate | Object | |
---|---|---|---|
1 | sg:pub.10.1007/s10096-012-1650-6 | schema:about | N0eb0db3214a149b897797a83748c4451 |
2 | ″ | ″ | N1da42d788ce34764abaab5cfe7897caf |
3 | ″ | ″ | N4add4662139746979b0bebd348f64223 |
4 | ″ | ″ | N5531629391ec40d3b87cf8ea273b2798 |
5 | ″ | ″ | N8772c9e29ea84dd7a48bae490b861ead |
6 | ″ | ″ | N96de7c0a371e4b148e8e5b8e4075fcf8 |
7 | ″ | ″ | N9f88acc29df14107a42eba17f3c34083 |
8 | ″ | ″ | Naa232ecede0b4e6f9ae389927b2a69ff |
9 | ″ | ″ | Nc1c3ca4cbfe543919d4bc4a77ef1b063 |
10 | ″ | ″ | Ne20d62a989df4e1d9c146c07a5ea7387 |
11 | ″ | ″ | Nf230257e3ff746f5baf5afa42f2d4dd6 |
12 | ″ | ″ | Nf46bf0fd1a604ed3a3f68a9504826ab9 |
13 | ″ | ″ | anzsrc-for:06 |
14 | ″ | ″ | anzsrc-for:0605 |
15 | ″ | schema:author | N22fe61fc93c54386b6a3be0f66a72c83 |
16 | ″ | schema:citation | sg:pub.10.1007/s10096-004-1103-y |
17 | ″ | schema:datePublished | 2012-06-06 |
18 | ″ | schema:datePublishedReg | 2012-06-06 |
19 | ″ | schema:description | The purpose of this investigation was to evaluate the performance of the Bactec 9240 and BacT/Alert 3D blood culture systems in the detection of Candida spp. and bacteria in simulated polymicrobial sepsis models. A total of 28 clinical isolates of Escherichia coli, Staphylococcus aureus, Candida albicans, and Candida glabrata were studied. Five polymicrobial models of C. albicans + S. aureus, C. albicans + E. coli, C. glabrata + S. aureus, C. glabrata + E. coli, and C. albicans + C. glabrata were prepared. Each combination was inoculated in five different blood culture vials. The two systems were compared for culture positivity and time to detection (TTD). Twenty-four mixed cultures with a yeast and a bacteria were tested. Bactec Mycosis vials could detect yeasts in all 24 cultures. The aerobic vials from both Bactec and BacT/Alert could detect both yeasts and bacteria in 22/24 (91.66 %) cultures. Bactec Plus Anaerobic/F and BacT/Alert FN vials could detect both microorganisms in 19/24 (79.16 %) and 4/24 (16.67 %) vials, respectively. Seven polymicrobial sepsis models with C. albicans + C. glabrata were also tested. Mycosis vials could detect both yeasts in 7/7 mixed cultures. The aerobic vials from Bactec and BacT/Alert could detect both yeasts in 3/7 and 2/7 mixed cultures, respectively. Bactec Plus Aerobic/F had a shorter TTD compared to BacT/Alert FA and Bactec Plus Anaerobic/F vials (p < 0.0001 and p < 0.01, respectively). The present study shows that the Bactec and BacT/Alert systems have different characteristics in the detection of yeasts and bacteria with polymicrobial sepsis. |
20 | ″ | schema:genre | article |
21 | ″ | schema:isAccessibleForFree | false |
22 | ″ | schema:isPartOf | N9e80fc2b42cc48a2993a9c665fe72533 |
23 | ″ | ″ | Nf6f76cb68f6e404abc81e9a0b7fc8c02 |
24 | ″ | ″ | sg:journal.1093599 |
25 | ″ | schema:keywords | Aerobic/F |
26 | ″ | ″ | BACTEC |
27 | ″ | ″ | BACTEC 9240 |
28 | ″ | ″ | BACTEC Plus Aerobic/F |
29 | ″ | ″ | BacT/ALERT |
30 | ″ | ″ | BacT/ALERT 3D |
31 | ″ | ″ | BacT/Alert 3D blood culture systems |
32 | ″ | ″ | BacT/Alert FA |
33 | ″ | ″ | BacT/Alert system |
34 | ″ | ″ | C. albicans |
35 | ″ | ″ | C. glabrata |
36 | ″ | ″ | Candida albicans |
37 | ″ | ″ | Candida glabrata |
38 | ″ | ″ | Candida spp |
39 | ″ | ″ | E. coli |
40 | ″ | ″ | Escherichia coli |
41 | ″ | ″ | FA |
42 | ″ | ″ | Plus Aerobic/F |
43 | ″ | ″ | Plus Anaerobic/F |
44 | ″ | ″ | S. aureus |
45 | ″ | ″ | Staphylococcus aureus |
46 | ″ | ″ | TTD |
47 | ″ | ″ | aerobic vials |
48 | ″ | ″ | albicans |
49 | ″ | ″ | alert system |
50 | ″ | ″ | alerts |
51 | ″ | ″ | aureus |
52 | ″ | ″ | bacteria |
53 | ″ | ″ | blood culture system |
54 | ″ | ″ | blood culture vials |
55 | ″ | ″ | characteristics |
56 | ″ | ″ | clinical isolates |
57 | ″ | ″ | coli |
58 | ″ | ″ | combination |
59 | ″ | ″ | comparison |
60 | ″ | ″ | culture |
61 | ″ | ″ | culture positivity |
62 | ″ | ″ | culture system |
63 | ″ | ″ | culture vials |
64 | ″ | ″ | detection |
65 | ″ | ″ | detection of yeasts |
66 | ″ | ″ | different characteristics |
67 | ″ | ″ | glabrata |
68 | ″ | ″ | investigation |
69 | ″ | ″ | isolates |
70 | ″ | ″ | microorganisms |
71 | ″ | ″ | mixed culture |
72 | ″ | ″ | model |
73 | ″ | ″ | performance |
74 | ″ | ″ | polymicrobial model |
75 | ″ | ″ | polymicrobial sepsis |
76 | ″ | ″ | polymicrobial sepsis model |
77 | ″ | ″ | positivity |
78 | ″ | ″ | present study |
79 | ″ | ″ | purpose |
80 | ″ | ″ | sepsis |
81 | ″ | ″ | sepsis model |
82 | ″ | ″ | shorter TTD |
83 | ″ | ″ | spp |
84 | ″ | ″ | study |
85 | ″ | ″ | system |
86 | ″ | ″ | time |
87 | ″ | ″ | total |
88 | ″ | ″ | vials |
89 | ″ | ″ | yeast |
90 | ″ | schema:name | Comparison of the two blood culture systems, Bactec 9240 and BacT/Alert 3D, in the detection of Candida spp. and bacteria with polymicrobial sepsis |
91 | ″ | schema:pagination | 2983-2987 |
92 | ″ | schema:productId | N64f0eb64723a447c810ab3ee942bbd55 |
93 | ″ | ″ | N9d92cd45a4104137b0be009d9b83a2d9 |
94 | ″ | ″ | Nee58fbf1f62544578a2b42da977fabd9 |
95 | ″ | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1020733477 |
96 | ″ | ″ | https://doi.org/10.1007/s10096-012-1650-6 |
97 | ″ | schema:sdDatePublished | 2022-08-04T17:00 |
98 | ″ | schema:sdLicense | https://scigraph.springernature.com/explorer/license/ |
99 | ″ | schema:sdPublisher | N854738701c6f4a44ba32bbfe78b136b9 |
100 | ″ | schema:url | https://doi.org/10.1007/s10096-012-1650-6 |
101 | ″ | sgo:license | sg:explorer/license/ |
102 | ″ | sgo:sdDataset | articles |
103 | ″ | rdf:type | schema:ScholarlyArticle |
104 | N0eb0db3214a149b897797a83748c4451 | schema:inDefinedTermSet | https://www.nlm.nih.gov/mesh/ |
105 | ″ | schema:name | Time Factors |
106 | ″ | rdf:type | schema:DefinedTerm |
107 | N1da42d788ce34764abaab5cfe7897caf | schema:inDefinedTermSet | https://www.nlm.nih.gov/mesh/ |
108 | ″ | schema:name | Sensitivity and Specificity |
109 | ″ | rdf:type | schema:DefinedTerm |
110 | N22fe61fc93c54386b6a3be0f66a72c83 | rdf:first | sg:person.01225075567.37 |
111 | ″ | rdf:rest | Nffc850303ce644f5a6c9c793a3bcbf59 |
112 | N4add4662139746979b0bebd348f64223 | schema:inDefinedTermSet | https://www.nlm.nih.gov/mesh/ |
113 | ″ | schema:name | Escherichia coli |
114 | ″ | rdf:type | schema:DefinedTerm |
115 | N5531629391ec40d3b87cf8ea273b2798 | schema:inDefinedTermSet | https://www.nlm.nih.gov/mesh/ |
116 | ″ | schema:name | Coinfection |
117 | ″ | rdf:type | schema:DefinedTerm |
118 | N59ba1ee2d6e9415fb02fd5bdc6b34117 | schema:affiliation | grid-institutes:grid.24381.3c |
119 | ″ | schema:familyName | Muhammed |
120 | ″ | schema:givenName | S. A. |
121 | ″ | rdf:type | schema:Person |
122 | N64f0eb64723a447c810ab3ee942bbd55 | schema:name | dimensions_id |
123 | ″ | schema:value | pub.1020733477 |
124 | ″ | rdf:type | schema:PropertyValue |
125 | N73db855918fe4e62ab48ce6546cae073 | rdf:first | sg:person.01172255634.84 |
126 | ″ | rdf:rest | rdf:nil |
127 | N854738701c6f4a44ba32bbfe78b136b9 | schema:name | Springer Nature - SN SciGraph project |
128 | ″ | rdf:type | schema:Organization |
129 | N8772c9e29ea84dd7a48bae490b861ead | schema:inDefinedTermSet | https://www.nlm.nih.gov/mesh/ |
130 | ″ | schema:name | Candidemia |
131 | ″ | rdf:type | schema:DefinedTerm |
132 | N96de7c0a371e4b148e8e5b8e4075fcf8 | schema:inDefinedTermSet | https://www.nlm.nih.gov/mesh/ |
133 | ″ | schema:name | Humans |
134 | ″ | rdf:type | schema:DefinedTerm |
135 | N9d92cd45a4104137b0be009d9b83a2d9 | schema:name | doi |
136 | ″ | schema:value | 10.1007/s10096-012-1650-6 |
137 | ″ | rdf:type | schema:PropertyValue |
138 | N9e80fc2b42cc48a2993a9c665fe72533 | schema:volumeNumber | 31 |
139 | ″ | rdf:type | schema:PublicationVolume |
140 | N9f88acc29df14107a42eba17f3c34083 | schema:inDefinedTermSet | https://www.nlm.nih.gov/mesh/ |
141 | ″ | schema:name | Blood |
142 | ″ | rdf:type | schema:DefinedTerm |
143 | Naa232ecede0b4e6f9ae389927b2a69ff | schema:inDefinedTermSet | https://www.nlm.nih.gov/mesh/ |
144 | ″ | schema:name | Microbiological Techniques |
145 | ″ | rdf:type | schema:DefinedTerm |
146 | Nc1c3ca4cbfe543919d4bc4a77ef1b063 | schema:inDefinedTermSet | https://www.nlm.nih.gov/mesh/ |
147 | ″ | schema:name | Staphylococcus aureus |
148 | ″ | rdf:type | schema:DefinedTerm |
149 | Ne20d62a989df4e1d9c146c07a5ea7387 | schema:inDefinedTermSet | https://www.nlm.nih.gov/mesh/ |
150 | ″ | schema:name | Models, Theoretical |
151 | ″ | rdf:type | schema:DefinedTerm |
152 | Nee58fbf1f62544578a2b42da977fabd9 | schema:name | pubmed_id |
153 | ″ | schema:value | 22669561 |
154 | ″ | rdf:type | schema:PropertyValue |
155 | Nf230257e3ff746f5baf5afa42f2d4dd6 | schema:inDefinedTermSet | https://www.nlm.nih.gov/mesh/ |
156 | ″ | schema:name | Bacteremia |
157 | ″ | rdf:type | schema:DefinedTerm |
158 | Nf46bf0fd1a604ed3a3f68a9504826ab9 | schema:inDefinedTermSet | https://www.nlm.nih.gov/mesh/ |
159 | ″ | schema:name | Candida |
160 | ″ | rdf:type | schema:DefinedTerm |
161 | Nf6f76cb68f6e404abc81e9a0b7fc8c02 | schema:issueNumber | 11 |
162 | ″ | rdf:type | schema:PublicationIssue |
163 | Nffc850303ce644f5a6c9c793a3bcbf59 | rdf:first | N59ba1ee2d6e9415fb02fd5bdc6b34117 |
164 | ″ | rdf:rest | N73db855918fe4e62ab48ce6546cae073 |
165 | anzsrc-for:06 | schema:inDefinedTermSet | anzsrc-for: |
166 | ″ | schema:name | Biological Sciences |
167 | ″ | rdf:type | schema:DefinedTerm |
168 | anzsrc-for:0605 | schema:inDefinedTermSet | anzsrc-for: |
169 | ″ | schema:name | Microbiology |
170 | ″ | rdf:type | schema:DefinedTerm |
171 | sg:journal.1093599 | schema:issn | 0934-9723 |
172 | ″ | ″ | 1435-4373 |
173 | ″ | schema:name | European Journal of Clinical Microbiology & Infectious Diseases |
174 | ″ | schema:publisher | Springer Nature |
175 | ″ | rdf:type | schema:Periodical |
176 | sg:person.01172255634.84 | schema:affiliation | grid-institutes:grid.24381.3c |
177 | ″ | schema:familyName | Özenci |
178 | ″ | schema:givenName | V. |
179 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01172255634.84 |
180 | ″ | rdf:type | schema:Person |
181 | sg:person.01225075567.37 | schema:affiliation | grid-institutes:grid.24381.3c |
182 | ″ | schema:familyName | Klingspor |
183 | ″ | schema:givenName | L. |
184 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225075567.37 |
185 | ″ | rdf:type | schema:Person |
186 | sg:pub.10.1007/s10096-004-1103-y | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1051069641 |
187 | ″ | ″ | https://doi.org/10.1007/s10096-004-1103-y |
188 | ″ | rdf:type | schema:CreativeWork |
189 | grid-institutes:grid.24381.3c | schema:alternateName | Division of Clinical Microbiology F 72, Karolinska Institutet, Karolinska University Hospital, 141 86, Huddinge, Stockholm, Sweden |
190 | ″ | schema:name | Division of Clinical Microbiology F 72, Karolinska Institutet, Karolinska University Hospital, 141 86, Huddinge, Stockholm, Sweden |
191 | ″ | rdf:type | schema:Organization |