The impact generated by publicly and charity-funded research in the United Kingdom: a systematic literature review View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Daniela Gomes, Charitini Stavropoulou

ABSTRACT

OBJECTIVE: To identify, synthesise and critically assess the empirical evidence of the impact generated by publicly and charity-funded health research in the United Kingdom. METHODS: We conducted a systematic literature review of the empirical evidence published in English in peer-reviewed journals between 2006 and 2017. Studies meeting the inclusion criteria were selected and their findings were analysed using the Payback Framework and categorised into five main dimensions, namely knowledge, benefits to future research and research use, benefits from informing policy and product development, health and health sector benefits, and broader economic benefits. We assessed the studies for risk of selection, reporting and funding bias. RESULTS: Thirteen studies met the inclusion criteria. The majority of the studies (10 out of 13) assessed impact at multiple domains including the main five key themes of the Payback Framework. All of them showed a positive impact of funded research on outcomes. Of those studies, one (8%), six (46%) and six (46%) presented a low, moderate and high risk of bias, respectively. CONCLUSIONS: Empirical evidence on the impact of publicly and charity-funded research is still limited and subject to funding and selection bias. More work is needed to establish the causal effects of funded research on academic outcomes, policy, practice and the broader economy. More... »

PAGES

22

References to SciGraph publications

  • 2013-12. Conducting retrospective impact analysis to inform a medical research charity’s funding strategies: the case of Asthma UK in ALLERGY, ASTHMA & CLINICAL IMMUNOLOGY
  • 2014-12. Estimating the returns to UK publicly funded cancer-related research in terms of the net value of improved health outcomes in BMC MEDICINE
  • 2016-12. The 10 largest public and philanthropic funders of health research in the world: what they fund and how they distribute their funds in HEALTH RESEARCH POLICY AND SYSTEMS
  • 2014-12. The impact of Cochrane Systematic Reviews: a mixed method evaluation of outputs from Cochrane Review Groups supported by the UK National Institute for Health Research in SYSTEMATIC REVIEWS
  • 2016-12. An approach to measuring and encouraging research translation and research impact in HEALTH RESEARCH POLICY AND SYSTEMS
  • 2016-12. Quantifying the economic impact of government and charity funding of medical research on private research and development funding in the United Kingdom in BMC MEDICINE
  • 2012-12. Assessing research impact in academic clinical medicine: a study using Research Excellence Framework pilot impact indicators in BMC HEALTH SERVICES RESEARCH
  • 2006-12. Describing the impact of health research: a Research Impact Framework in BMC HEALTH SERVICES RESEARCH
  • 2011-12. Conceptual frameworks and empirical approaches used to assess the impact of health research: an overview of reviews in HEALTH RESEARCH POLICY AND SYSTEMS
  • 2017-12. Does a biomedical research centre affect patient care in local hospitals? in HEALTH RESEARCH POLICY AND SYSTEMS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12961-019-0425-2

    DOI

    http://dx.doi.org/10.1186/s12961-019-0425-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112458690

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30819185


    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/2008/1117", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Public Health and Health Services", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "name": [
                "School of Health Sciences, City, University of London, Northampton Square, EC1V 0HB, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gomes", 
            "givenName": "Daniela", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "School of Health Sciences, City, University of London, Northampton Square, EC1V 0HB, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Stavropoulou", 
            "givenName": "Charitini", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1017/s0266462309090011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002529295"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1472-6963-12-478", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004964974", 
              "https://doi.org/10.1186/1472-6963-12-478"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1710-1492-9-17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005649127", 
              "https://doi.org/10.1186/1710-1492-9-17"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3109/09638237.2012.664298", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005960386"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1741-7015-12-99", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006565540", 
              "https://doi.org/10.1186/1741-7015-12-99"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1332/174426408x338857", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010578044"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12961-015-0074-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010626359", 
              "https://doi.org/10.1186/s12961-015-0074-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0140-6736(09)60329-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011163648"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12916-016-0564-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011671285", 
              "https://doi.org/10.1186/s12916-016-0564-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ejca.2010.10.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018901728"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/2046-4053-3-125", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027123071", 
              "https://doi.org/10.1186/2046-4053-3-125"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1472-6963-6-134", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028888674", 
              "https://doi.org/10.1186/1472-6963-6-134"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pmed.1002049", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031443657"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4276/030802213x13861576675204", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034806457"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4276/030802213x13861576675204", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034806457"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pmed.1000097", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037575666"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12961-016-0131-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039192858", 
              "https://doi.org/10.1186/s12961-016-0131-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12961-016-0131-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039192858", 
              "https://doi.org/10.1186/s12961-016-0131-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1478-4505-9-26", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040575460", 
              "https://doi.org/10.1186/1478-4505-9-26"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12961-016-0163-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053908017", 
              "https://doi.org/10.1186/s12961-016-0163-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12961-016-0163-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053908017", 
              "https://doi.org/10.1186/s12961-016-0163-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3152/095820211x13118583635756", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071058561"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3310/hta11530", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071139004"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3310/hta19670", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071139523"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3310/hta20760", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071139632"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/135581969600100107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1074346452"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/135581969600100107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1074346452"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1079391358", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pmed.1002370", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091134034"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1136/bmjopen-2018-022131", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1106900787"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-12", 
        "datePublishedReg": "2019-12-01", 
        "description": "OBJECTIVE: To identify, synthesise and critically assess the empirical evidence of the impact generated by publicly and charity-funded health research in the United Kingdom.\nMETHODS: We conducted a systematic literature review of the empirical evidence published in English in peer-reviewed journals between 2006 and 2017. Studies meeting the inclusion criteria were selected and their findings were analysed using the Payback Framework and categorised into five main dimensions, namely knowledge, benefits to future research and research use, benefits from informing policy and product development, health and health sector benefits, and broader economic benefits. We assessed the studies for risk of selection, reporting and funding bias.\nRESULTS: Thirteen studies met the inclusion criteria. The majority of the studies (10 out of 13) assessed impact at multiple domains including the main five key themes of the Payback Framework. All of them showed a positive impact of funded research on outcomes. Of those studies, one (8%), six (46%) and six (46%) presented a low, moderate and high risk of bias, respectively.\nCONCLUSIONS: Empirical evidence on the impact of publicly and charity-funded research is still limited and subject to funding and selection bias. More work is needed to establish the causal effects of funded research on academic outcomes, policy, practice and the broader economy.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/s12961-019-0425-2", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1032049", 
            "issn": [
              "1478-4505"
            ], 
            "name": "Health Research Policy and Systems", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "17"
          }
        ], 
        "name": "The impact generated by publicly and charity-funded research in the United Kingdom: a systematic literature review", 
        "pagination": "22", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "34af8f799bad6f6a2a21718dd92922720f27f74c646fe25c2baaf9aca9a442ef"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30819185"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101170481"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s12961-019-0425-2"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1112458690"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s12961-019-0425-2", 
          "https://app.dimensions.ai/details/publication/pub.1112458690"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T11:27", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000356_0000000356/records_57902_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1186%2Fs12961-019-0425-2"
      }
    ]
     

    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/s12961-019-0425-2'

    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/s12961-019-0425-2'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12961-019-0425-2'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12961-019-0425-2'


     

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

    161 TRIPLES      21 PREDICATES      55 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s12961-019-0425-2 schema:about anzsrc-for:11
    2 anzsrc-for:1117
    3 schema:author N799a708e7d7341b2b08a59463bdaa110
    4 schema:citation sg:pub.10.1186/1472-6963-12-478
    5 sg:pub.10.1186/1472-6963-6-134
    6 sg:pub.10.1186/1478-4505-9-26
    7 sg:pub.10.1186/1710-1492-9-17
    8 sg:pub.10.1186/1741-7015-12-99
    9 sg:pub.10.1186/2046-4053-3-125
    10 sg:pub.10.1186/s12916-016-0564-z
    11 sg:pub.10.1186/s12961-015-0074-z
    12 sg:pub.10.1186/s12961-016-0131-2
    13 sg:pub.10.1186/s12961-016-0163-7
    14 https://app.dimensions.ai/details/publication/pub.1079391358
    15 https://doi.org/10.1016/j.ejca.2010.10.015
    16 https://doi.org/10.1016/s0140-6736(09)60329-9
    17 https://doi.org/10.1017/s0266462309090011
    18 https://doi.org/10.1136/bmjopen-2018-022131
    19 https://doi.org/10.1177/135581969600100107
    20 https://doi.org/10.1332/174426408x338857
    21 https://doi.org/10.1371/journal.pmed.1000097
    22 https://doi.org/10.1371/journal.pmed.1002049
    23 https://doi.org/10.1371/journal.pmed.1002370
    24 https://doi.org/10.3109/09638237.2012.664298
    25 https://doi.org/10.3152/095820211x13118583635756
    26 https://doi.org/10.3310/hta11530
    27 https://doi.org/10.3310/hta19670
    28 https://doi.org/10.3310/hta20760
    29 https://doi.org/10.4276/030802213x13861576675204
    30 schema:datePublished 2019-12
    31 schema:datePublishedReg 2019-12-01
    32 schema:description OBJECTIVE: To identify, synthesise and critically assess the empirical evidence of the impact generated by publicly and charity-funded health research in the United Kingdom. METHODS: We conducted a systematic literature review of the empirical evidence published in English in peer-reviewed journals between 2006 and 2017. Studies meeting the inclusion criteria were selected and their findings were analysed using the Payback Framework and categorised into five main dimensions, namely knowledge, benefits to future research and research use, benefits from informing policy and product development, health and health sector benefits, and broader economic benefits. We assessed the studies for risk of selection, reporting and funding bias. RESULTS: Thirteen studies met the inclusion criteria. The majority of the studies (10 out of 13) assessed impact at multiple domains including the main five key themes of the Payback Framework. All of them showed a positive impact of funded research on outcomes. Of those studies, one (8%), six (46%) and six (46%) presented a low, moderate and high risk of bias, respectively. CONCLUSIONS: Empirical evidence on the impact of publicly and charity-funded research is still limited and subject to funding and selection bias. More work is needed to establish the causal effects of funded research on academic outcomes, policy, practice and the broader economy.
    33 schema:genre research_article
    34 schema:inLanguage en
    35 schema:isAccessibleForFree true
    36 schema:isPartOf N77a9740a68f74b609da871352baad9ad
    37 Nd100faa939494f7c94af331f6f25a38c
    38 sg:journal.1032049
    39 schema:name The impact generated by publicly and charity-funded research in the United Kingdom: a systematic literature review
    40 schema:pagination 22
    41 schema:productId N259e2def4074471498bdaff30f5e1d8e
    42 N37d71f270d504ec5850c1e2dfd4c9e45
    43 N91baca85511145179d77ba12e8fc8f57
    44 Ncbad874000b7424dad6704f3d50fa4bd
    45 Nf92ea33e8f8f47018762aab2026f9d99
    46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112458690
    47 https://doi.org/10.1186/s12961-019-0425-2
    48 schema:sdDatePublished 2019-04-11T11:27
    49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    50 schema:sdPublisher N91202c5c195e472d977731ae5b502a93
    51 schema:url https://link.springer.com/10.1186%2Fs12961-019-0425-2
    52 sgo:license sg:explorer/license/
    53 sgo:sdDataset articles
    54 rdf:type schema:ScholarlyArticle
    55 N1e07f1cfa0044377bd7a7c2e2c2ed1e7 schema:affiliation Nd031aa7f357d4841bcd8bddad0ac502a
    56 schema:familyName Gomes
    57 schema:givenName Daniela
    58 rdf:type schema:Person
    59 N259e2def4074471498bdaff30f5e1d8e schema:name dimensions_id
    60 schema:value pub.1112458690
    61 rdf:type schema:PropertyValue
    62 N37d71f270d504ec5850c1e2dfd4c9e45 schema:name nlm_unique_id
    63 schema:value 101170481
    64 rdf:type schema:PropertyValue
    65 N45b08ff499604d2c8cd797ef1ef87563 schema:affiliation Na4da40b7033145b29a0160e048c4033a
    66 schema:familyName Stavropoulou
    67 schema:givenName Charitini
    68 rdf:type schema:Person
    69 N77a9740a68f74b609da871352baad9ad schema:issueNumber 1
    70 rdf:type schema:PublicationIssue
    71 N786bf1be7deb45d2803a83d0a467c9ea rdf:first N45b08ff499604d2c8cd797ef1ef87563
    72 rdf:rest rdf:nil
    73 N799a708e7d7341b2b08a59463bdaa110 rdf:first N1e07f1cfa0044377bd7a7c2e2c2ed1e7
    74 rdf:rest N786bf1be7deb45d2803a83d0a467c9ea
    75 N91202c5c195e472d977731ae5b502a93 schema:name Springer Nature - SN SciGraph project
    76 rdf:type schema:Organization
    77 N91baca85511145179d77ba12e8fc8f57 schema:name doi
    78 schema:value 10.1186/s12961-019-0425-2
    79 rdf:type schema:PropertyValue
    80 Na4da40b7033145b29a0160e048c4033a schema:name School of Health Sciences, City, University of London, Northampton Square, EC1V 0HB, London, UK
    81 rdf:type schema:Organization
    82 Ncbad874000b7424dad6704f3d50fa4bd schema:name readcube_id
    83 schema:value 34af8f799bad6f6a2a21718dd92922720f27f74c646fe25c2baaf9aca9a442ef
    84 rdf:type schema:PropertyValue
    85 Nd031aa7f357d4841bcd8bddad0ac502a schema:name School of Health Sciences, City, University of London, Northampton Square, EC1V 0HB, London, UK
    86 rdf:type schema:Organization
    87 Nd100faa939494f7c94af331f6f25a38c schema:volumeNumber 17
    88 rdf:type schema:PublicationVolume
    89 Nf92ea33e8f8f47018762aab2026f9d99 schema:name pubmed_id
    90 schema:value 30819185
    91 rdf:type schema:PropertyValue
    92 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    93 schema:name Medical and Health Sciences
    94 rdf:type schema:DefinedTerm
    95 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
    96 schema:name Public Health and Health Services
    97 rdf:type schema:DefinedTerm
    98 sg:journal.1032049 schema:issn 1478-4505
    99 schema:name Health Research Policy and Systems
    100 rdf:type schema:Periodical
    101 sg:pub.10.1186/1472-6963-12-478 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004964974
    102 https://doi.org/10.1186/1472-6963-12-478
    103 rdf:type schema:CreativeWork
    104 sg:pub.10.1186/1472-6963-6-134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028888674
    105 https://doi.org/10.1186/1472-6963-6-134
    106 rdf:type schema:CreativeWork
    107 sg:pub.10.1186/1478-4505-9-26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040575460
    108 https://doi.org/10.1186/1478-4505-9-26
    109 rdf:type schema:CreativeWork
    110 sg:pub.10.1186/1710-1492-9-17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005649127
    111 https://doi.org/10.1186/1710-1492-9-17
    112 rdf:type schema:CreativeWork
    113 sg:pub.10.1186/1741-7015-12-99 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006565540
    114 https://doi.org/10.1186/1741-7015-12-99
    115 rdf:type schema:CreativeWork
    116 sg:pub.10.1186/2046-4053-3-125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027123071
    117 https://doi.org/10.1186/2046-4053-3-125
    118 rdf:type schema:CreativeWork
    119 sg:pub.10.1186/s12916-016-0564-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1011671285
    120 https://doi.org/10.1186/s12916-016-0564-z
    121 rdf:type schema:CreativeWork
    122 sg:pub.10.1186/s12961-015-0074-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1010626359
    123 https://doi.org/10.1186/s12961-015-0074-z
    124 rdf:type schema:CreativeWork
    125 sg:pub.10.1186/s12961-016-0131-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039192858
    126 https://doi.org/10.1186/s12961-016-0131-2
    127 rdf:type schema:CreativeWork
    128 sg:pub.10.1186/s12961-016-0163-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053908017
    129 https://doi.org/10.1186/s12961-016-0163-7
    130 rdf:type schema:CreativeWork
    131 https://app.dimensions.ai/details/publication/pub.1079391358 schema:CreativeWork
    132 https://doi.org/10.1016/j.ejca.2010.10.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018901728
    133 rdf:type schema:CreativeWork
    134 https://doi.org/10.1016/s0140-6736(09)60329-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011163648
    135 rdf:type schema:CreativeWork
    136 https://doi.org/10.1017/s0266462309090011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002529295
    137 rdf:type schema:CreativeWork
    138 https://doi.org/10.1136/bmjopen-2018-022131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106900787
    139 rdf:type schema:CreativeWork
    140 https://doi.org/10.1177/135581969600100107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074346452
    141 rdf:type schema:CreativeWork
    142 https://doi.org/10.1332/174426408x338857 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010578044
    143 rdf:type schema:CreativeWork
    144 https://doi.org/10.1371/journal.pmed.1000097 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037575666
    145 rdf:type schema:CreativeWork
    146 https://doi.org/10.1371/journal.pmed.1002049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031443657
    147 rdf:type schema:CreativeWork
    148 https://doi.org/10.1371/journal.pmed.1002370 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091134034
    149 rdf:type schema:CreativeWork
    150 https://doi.org/10.3109/09638237.2012.664298 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005960386
    151 rdf:type schema:CreativeWork
    152 https://doi.org/10.3152/095820211x13118583635756 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071058561
    153 rdf:type schema:CreativeWork
    154 https://doi.org/10.3310/hta11530 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071139004
    155 rdf:type schema:CreativeWork
    156 https://doi.org/10.3310/hta19670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071139523
    157 rdf:type schema:CreativeWork
    158 https://doi.org/10.3310/hta20760 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071139632
    159 rdf:type schema:CreativeWork
    160 https://doi.org/10.4276/030802213x13861576675204 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034806457
    161 rdf:type schema:CreativeWork
     




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


    ...