Electrical impedance tomography: the solution for lung morphology assessment? View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13613-020-00719-y

DOI

http://dx.doi.org/10.1186/s13613-020-00719-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1129849512

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/32748230


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "GRC ARPE, Medecine Sorbonne-Universite, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.462844.8", 
          "name": [
            "Medecine Sorbonne-Universit\u00e9, DMU DREAM, APHP-Sorbonne Universite, Pitie-Salpetriere Hospital, Paris, France", 
            "GRC ARPE, Medecine Sorbonne-Universite, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Blanchard", 
        "givenName": "Florian", 
        "id": "sg:person.07571417627.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07571417627.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medecine Sorbonne-Universit\u00e9, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.462844.8", 
          "name": [
            "Medecine Sorbonne-Universit\u00e9, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Picod", 
        "givenName": "Adrien", 
        "id": "sg:person.013325541137.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013325541137.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "R\u00e9animation Chirurgicale, CHU Piti\u00e9-Salp\u00eatri\u00e8re, 47-83 Boulevard de l\u2019H\u00f4pital, 75013, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.411439.a", 
          "name": [
            "Medecine Sorbonne-Universit\u00e9, DMU DREAM, APHP-Sorbonne Universite, Pitie-Salpetriere Hospital, Paris, France", 
            "GRC ARPE, Medecine Sorbonne-Universite, Paris, France", 
            "R\u00e9animation Chirurgicale, CHU Piti\u00e9-Salp\u00eatri\u00e8re, 47-83 Boulevard de l\u2019H\u00f4pital, 75013, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Constantin", 
        "givenName": "Jean-Michel", 
        "id": "sg:person.0721106637.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721106637.40"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/cc13114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016833811", 
          "https://doi.org/10.1186/cc13114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13613-020-0633-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1124560841", 
          "https://doi.org/10.1186/s13613-020-0633-5"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2020-08-03", 
    "datePublishedReg": "2020-08-03", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s13613-020-00719-y", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045300", 
        "issn": [
          "2110-5820"
        ], 
        "name": "Annals of Intensive Care", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "keywords": [
      "morphology assessment", 
      "assessment", 
      "solution"
    ], 
    "name": "Electrical impedance tomography: the solution for lung morphology assessment?", 
    "pagination": "102", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1129849512"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13613-020-00719-y"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "32748230"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13613-020-00719-y", 
      "https://app.dimensions.ai/details/publication/pub.1129849512"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-09-02T16:06", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_863.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s13613-020-00719-y"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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.10.1186/s13613-020-00719-y'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13613-020-00719-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13613-020-00719-y'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13613-020-00719-y'


 

This table displays all metadata directly associated to this object as RDF triples.

96 TRIPLES      20 PREDICATES      30 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13613-020-00719-y schema:about anzsrc-for:11
2 anzsrc-for:1103
3 anzsrc-for:1117
4 schema:author N7f0c2084b51047b5826c7edef96c3a7c
5 schema:citation sg:pub.10.1186/cc13114
6 sg:pub.10.1186/s13613-020-0633-5
7 schema:datePublished 2020-08-03
8 schema:datePublishedReg 2020-08-03
9 schema:genre article
10 schema:isAccessibleForFree true
11 schema:isPartOf N9f9065e0b8dd4940b3b42a6c1c85ff22
12 Naad0e286d35f4655afdc649dc93f3b7e
13 sg:journal.1045300
14 schema:keywords assessment
15 morphology assessment
16 solution
17 schema:name Electrical impedance tomography: the solution for lung morphology assessment?
18 schema:pagination 102
19 schema:productId N09d4ba1544764d8b92f36ff428bec2a3
20 N242716d42b2148eca388333ba9ae5be0
21 Nc95a755d632640c49da5506ec3e9658e
22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1129849512
23 https://doi.org/10.1186/s13613-020-00719-y
24 schema:sdDatePublished 2022-09-02T16:06
25 schema:sdLicense https://scigraph.springernature.com/explorer/license/
26 schema:sdPublisher Ne981c321decd48ca9473b0c5f82745af
27 schema:url https://doi.org/10.1186/s13613-020-00719-y
28 sgo:license sg:explorer/license/
29 sgo:sdDataset articles
30 rdf:type schema:ScholarlyArticle
31 N09d4ba1544764d8b92f36ff428bec2a3 schema:name pubmed_id
32 schema:value 32748230
33 rdf:type schema:PropertyValue
34 N242716d42b2148eca388333ba9ae5be0 schema:name dimensions_id
35 schema:value pub.1129849512
36 rdf:type schema:PropertyValue
37 N24e3b4f8464f49f5a632396a0c33d125 rdf:first sg:person.0721106637.40
38 rdf:rest rdf:nil
39 N7f0c2084b51047b5826c7edef96c3a7c rdf:first sg:person.07571417627.27
40 rdf:rest N8349eb655375443c8410f257d553796a
41 N8349eb655375443c8410f257d553796a rdf:first sg:person.013325541137.23
42 rdf:rest N24e3b4f8464f49f5a632396a0c33d125
43 N9f9065e0b8dd4940b3b42a6c1c85ff22 schema:volumeNumber 10
44 rdf:type schema:PublicationVolume
45 Naad0e286d35f4655afdc649dc93f3b7e schema:issueNumber 1
46 rdf:type schema:PublicationIssue
47 Nc95a755d632640c49da5506ec3e9658e schema:name doi
48 schema:value 10.1186/s13613-020-00719-y
49 rdf:type schema:PropertyValue
50 Ne981c321decd48ca9473b0c5f82745af schema:name Springer Nature - SN SciGraph project
51 rdf:type schema:Organization
52 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
53 schema:name Medical and Health Sciences
54 rdf:type schema:DefinedTerm
55 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
56 schema:name Clinical Sciences
57 rdf:type schema:DefinedTerm
58 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
59 schema:name Public Health and Health Services
60 rdf:type schema:DefinedTerm
61 sg:journal.1045300 schema:issn 2110-5820
62 schema:name Annals of Intensive Care
63 schema:publisher Springer Nature
64 rdf:type schema:Periodical
65 sg:person.013325541137.23 schema:affiliation grid-institutes:grid.462844.8
66 schema:familyName Picod
67 schema:givenName Adrien
68 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013325541137.23
69 rdf:type schema:Person
70 sg:person.0721106637.40 schema:affiliation grid-institutes:grid.411439.a
71 schema:familyName Constantin
72 schema:givenName Jean-Michel
73 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721106637.40
74 rdf:type schema:Person
75 sg:person.07571417627.27 schema:affiliation grid-institutes:grid.462844.8
76 schema:familyName Blanchard
77 schema:givenName Florian
78 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07571417627.27
79 rdf:type schema:Person
80 sg:pub.10.1186/cc13114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016833811
81 https://doi.org/10.1186/cc13114
82 rdf:type schema:CreativeWork
83 sg:pub.10.1186/s13613-020-0633-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1124560841
84 https://doi.org/10.1186/s13613-020-0633-5
85 rdf:type schema:CreativeWork
86 grid-institutes:grid.411439.a schema:alternateName Réanimation Chirurgicale, CHU Pitié-Salpêtrière, 47-83 Boulevard de l’Hôpital, 75013, Paris, France
87 schema:name GRC ARPE, Medecine Sorbonne-Universite, Paris, France
88 Medecine Sorbonne-Université, DMU DREAM, APHP-Sorbonne Universite, Pitie-Salpetriere Hospital, Paris, France
89 Réanimation Chirurgicale, CHU Pitié-Salpêtrière, 47-83 Boulevard de l’Hôpital, 75013, Paris, France
90 rdf:type schema:Organization
91 grid-institutes:grid.462844.8 schema:alternateName GRC ARPE, Medecine Sorbonne-Universite, Paris, France
92 Medecine Sorbonne-Université, Paris, France
93 schema:name GRC ARPE, Medecine Sorbonne-Universite, Paris, France
94 Medecine Sorbonne-Université, DMU DREAM, APHP-Sorbonne Universite, Pitie-Salpetriere Hospital, Paris, France
95 Medecine Sorbonne-Université, Paris, France
96 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...