Loading…
Similarity Analysis of Korean Medical Literature and Its Association with Efforts to Improve Research and Publication Ethics
In the present study, the frequency of research misconduct in Korean medical papers was analyzed using the similarity check software iThenticate®. All Korean papers written in English that were published in 2009 and 2014 in KoreaMed Synapse were identified. In total, 23,848 papers were extracted. 4,...
Saved in:
Published in: | Journal of Korean medical science 2017, 32(6), 228, pp.887-892 |
---|---|
Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c436t-1bae03fc35fbf2bec36d1c271dcfb75887a701b33f5f3eeca1b128adb31b33fa3 |
---|---|
cites | cdi_FETCH-LOGICAL-c436t-1bae03fc35fbf2bec36d1c271dcfb75887a701b33f5f3eeca1b128adb31b33fa3 |
container_end_page | 892 |
container_issue | 6 |
container_start_page | 887 |
container_title | Journal of Korean medical science |
container_volume | 32 |
creator | Park, Soyoung Yang, Seung Ho Jung, Eugene Kim, Yeon Mi Baek, Hyun Sung Koo, Young Mo |
description | In the present study, the frequency of research misconduct in Korean medical papers was analyzed using the similarity check software iThenticate®. All Korean papers written in English that were published in 2009 and 2014 in KoreaMed Synapse were identified. In total, 23,848 papers were extracted. 4,050 Journal Articles of them were randomly selected for similarity analysis. The average Similarity Index of the 4,050 papers decreased over time, particularly in 2013: in 2009 and 2014, it was 10.15% and 5.62%, respectively. And 357 (8.8%) had a Similarity Index of ≥ 20%. Authors considered a Similarity Index of ≥ 20% as suspected research misconduct. It was found that iThenticate® cannot functionally process citations without double quotation marks. Papers with a Similarity Index of ≥ 20% were thus individually checked for detecting such text-matching errors to accurately identify papers with suspected research misconduct. After correcting text-matching errors, 142 (3.5% of the 4,050 papers) were suspected of research misconduct. The annual frequency of these papers decreased over time, particularly in 2013: in 2009 and 2014, it was 5.2% and 1.7%, respectively. The decrease was associated with the introduction of CrossCheck by KoreaMed and the frequent use of similarity check software. The majority (81%) had Similarity Indices between 20% and 40%. The fact suggested that low Similarity index does not necessarily mean low possibility of research misconduct. It should be noted that, although iThenticate® provides a fundamental basis for detecting research misconduct, the final judgment should be made by experts. |
doi_str_mv | 10.3346/jkms.2017.32.6.887 |
format | article |
fullrecord | <record><control><sourceid>proquest_nrf_k</sourceid><recordid>TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_1379861</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1896414600</sourcerecordid><originalsourceid>FETCH-LOGICAL-c436t-1bae03fc35fbf2bec36d1c271dcfb75887a701b33f5f3eeca1b128adb31b33fa3</originalsourceid><addsrcrecordid>eNpVkUtv1DAUhS0Eog_4AyyQl7BI8CtOskEaVdMyYlBRKWvLdmzGnSQebKfVSPx4PJlS0dW9uvecz746ALzDqKSU8U932yGWBOG6pKTkZdPUL8Aprtqm4LSqX-YeYVw0LWUn4CzGO4RIVRH6GpyQhjWIM3YK_vxwg-tlcGkPF6Ps99FF6C386oORI_xmOqdlD9cumSDTFAyUYwdXKcJFjF47mZwf4YNLG7i01oe8SB6uhl3w9wbemGhk0JvZ9H1SfYbNhmXaOB3fgFdW9tG8fazn4Ofl8vbiS7G-vlpdLNaFZpSnAitpELWaVlZZooymvMOa1LjTVtVVvlvWCCtKbWWpMVpihUkjO0XnoaTn4OOROwYrttoJL91cf3mxDWJxc7sSmNZtw3HWfj5qd5MaTKfNmILsxS64QYb97Hy-Gd0mc-5FxQgnrM2AD4-A4H9PJiYxuKhN38vR-CkK3LScYcYRylJylOrgYwzGPj2DkThELA4Ri0PEghLBRT41m97__8Eny79M6V9-qKbb</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1896414600</pqid></control><display><type>article</type><title>Similarity Analysis of Korean Medical Literature and Its Association with Efforts to Improve Research and Publication Ethics</title><source>PubMed Central</source><creator>Park, Soyoung ; Yang, Seung Ho ; Jung, Eugene ; Kim, Yeon Mi ; Baek, Hyun Sung ; Koo, Young Mo</creator><creatorcontrib>Park, Soyoung ; Yang, Seung Ho ; Jung, Eugene ; Kim, Yeon Mi ; Baek, Hyun Sung ; Koo, Young Mo</creatorcontrib><description>In the present study, the frequency of research misconduct in Korean medical papers was analyzed using the similarity check software iThenticate®. All Korean papers written in English that were published in 2009 and 2014 in KoreaMed Synapse were identified. In total, 23,848 papers were extracted. 4,050 Journal Articles of them were randomly selected for similarity analysis. The average Similarity Index of the 4,050 papers decreased over time, particularly in 2013: in 2009 and 2014, it was 10.15% and 5.62%, respectively. And 357 (8.8%) had a Similarity Index of ≥ 20%. Authors considered a Similarity Index of ≥ 20% as suspected research misconduct. It was found that iThenticate® cannot functionally process citations without double quotation marks. Papers with a Similarity Index of ≥ 20% were thus individually checked for detecting such text-matching errors to accurately identify papers with suspected research misconduct. After correcting text-matching errors, 142 (3.5% of the 4,050 papers) were suspected of research misconduct. The annual frequency of these papers decreased over time, particularly in 2013: in 2009 and 2014, it was 5.2% and 1.7%, respectively. The decrease was associated with the introduction of CrossCheck by KoreaMed and the frequent use of similarity check software. The majority (81%) had Similarity Indices between 20% and 40%. The fact suggested that low Similarity index does not necessarily mean low possibility of research misconduct. It should be noted that, although iThenticate® provides a fundamental basis for detecting research misconduct, the final judgment should be made by experts.</description><identifier>ISSN: 1011-8934</identifier><identifier>EISSN: 1598-6357</identifier><identifier>DOI: 10.3346/jkms.2017.32.6.887</identifier><identifier>PMID: 28480644</identifier><language>eng</language><publisher>Korea (South): The Korean Academy of Medical Sciences</publisher><subject>Duplicate Publication as Topic ; Editorial Policies ; Humans ; Original ; Plagiarism ; Publishing - ethics ; Republic of Korea ; Scientific Misconduct - trends ; 의학일반</subject><ispartof>Journal of Korean Medical Science, 2017, 32(6), 228, pp.887-892</ispartof><rights>2017 The Korean Academy of Medical Sciences.</rights><rights>2017 The Korean Academy of Medical Sciences. 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c436t-1bae03fc35fbf2bec36d1c271dcfb75887a701b33f5f3eeca1b128adb31b33fa3</citedby><cites>FETCH-LOGICAL-c436t-1bae03fc35fbf2bec36d1c271dcfb75887a701b33f5f3eeca1b128adb31b33fa3</cites><orcidid>0000-0003-1743-9020 ; 0000-0001-7256-3548 ; 0000-0002-7130-8382 ; 0000-0002-3479-3497 ; 0000-0002-3736-5797 ; 0000-0002-3067-3957</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5426249/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5426249/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28480644$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002227473$$DAccess content in National Research Foundation of Korea (NRF)$$Hfree_for_read</backlink></links><search><creatorcontrib>Park, Soyoung</creatorcontrib><creatorcontrib>Yang, Seung Ho</creatorcontrib><creatorcontrib>Jung, Eugene</creatorcontrib><creatorcontrib>Kim, Yeon Mi</creatorcontrib><creatorcontrib>Baek, Hyun Sung</creatorcontrib><creatorcontrib>Koo, Young Mo</creatorcontrib><title>Similarity Analysis of Korean Medical Literature and Its Association with Efforts to Improve Research and Publication Ethics</title><title>Journal of Korean medical science</title><addtitle>J Korean Med Sci</addtitle><description>In the present study, the frequency of research misconduct in Korean medical papers was analyzed using the similarity check software iThenticate®. All Korean papers written in English that were published in 2009 and 2014 in KoreaMed Synapse were identified. In total, 23,848 papers were extracted. 4,050 Journal Articles of them were randomly selected for similarity analysis. The average Similarity Index of the 4,050 papers decreased over time, particularly in 2013: in 2009 and 2014, it was 10.15% and 5.62%, respectively. And 357 (8.8%) had a Similarity Index of ≥ 20%. Authors considered a Similarity Index of ≥ 20% as suspected research misconduct. It was found that iThenticate® cannot functionally process citations without double quotation marks. Papers with a Similarity Index of ≥ 20% were thus individually checked for detecting such text-matching errors to accurately identify papers with suspected research misconduct. After correcting text-matching errors, 142 (3.5% of the 4,050 papers) were suspected of research misconduct. The annual frequency of these papers decreased over time, particularly in 2013: in 2009 and 2014, it was 5.2% and 1.7%, respectively. The decrease was associated with the introduction of CrossCheck by KoreaMed and the frequent use of similarity check software. The majority (81%) had Similarity Indices between 20% and 40%. The fact suggested that low Similarity index does not necessarily mean low possibility of research misconduct. It should be noted that, although iThenticate® provides a fundamental basis for detecting research misconduct, the final judgment should be made by experts.</description><subject>Duplicate Publication as Topic</subject><subject>Editorial Policies</subject><subject>Humans</subject><subject>Original</subject><subject>Plagiarism</subject><subject>Publishing - ethics</subject><subject>Republic of Korea</subject><subject>Scientific Misconduct - trends</subject><subject>의학일반</subject><issn>1011-8934</issn><issn>1598-6357</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNpVkUtv1DAUhS0Eog_4AyyQl7BI8CtOskEaVdMyYlBRKWvLdmzGnSQebKfVSPx4PJlS0dW9uvecz746ALzDqKSU8U932yGWBOG6pKTkZdPUL8Aprtqm4LSqX-YeYVw0LWUn4CzGO4RIVRH6GpyQhjWIM3YK_vxwg-tlcGkPF6Ps99FF6C386oORI_xmOqdlD9cumSDTFAyUYwdXKcJFjF47mZwf4YNLG7i01oe8SB6uhl3w9wbemGhk0JvZ9H1SfYbNhmXaOB3fgFdW9tG8fazn4Ofl8vbiS7G-vlpdLNaFZpSnAitpELWaVlZZooymvMOa1LjTVtVVvlvWCCtKbWWpMVpihUkjO0XnoaTn4OOROwYrttoJL91cf3mxDWJxc7sSmNZtw3HWfj5qd5MaTKfNmILsxS64QYb97Hy-Gd0mc-5FxQgnrM2AD4-A4H9PJiYxuKhN38vR-CkK3LScYcYRylJylOrgYwzGPj2DkThELA4Ri0PEghLBRT41m97__8Eny79M6V9-qKbb</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Park, Soyoung</creator><creator>Yang, Seung Ho</creator><creator>Jung, Eugene</creator><creator>Kim, Yeon Mi</creator><creator>Baek, Hyun Sung</creator><creator>Koo, Young Mo</creator><general>The Korean Academy of Medical Sciences</general><general>대한의학회</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>ACYCR</scope><orcidid>https://orcid.org/0000-0003-1743-9020</orcidid><orcidid>https://orcid.org/0000-0001-7256-3548</orcidid><orcidid>https://orcid.org/0000-0002-7130-8382</orcidid><orcidid>https://orcid.org/0000-0002-3479-3497</orcidid><orcidid>https://orcid.org/0000-0002-3736-5797</orcidid><orcidid>https://orcid.org/0000-0002-3067-3957</orcidid></search><sort><creationdate>20170601</creationdate><title>Similarity Analysis of Korean Medical Literature and Its Association with Efforts to Improve Research and Publication Ethics</title><author>Park, Soyoung ; Yang, Seung Ho ; Jung, Eugene ; Kim, Yeon Mi ; Baek, Hyun Sung ; Koo, Young Mo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c436t-1bae03fc35fbf2bec36d1c271dcfb75887a701b33f5f3eeca1b128adb31b33fa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Duplicate Publication as Topic</topic><topic>Editorial Policies</topic><topic>Humans</topic><topic>Original</topic><topic>Plagiarism</topic><topic>Publishing - ethics</topic><topic>Republic of Korea</topic><topic>Scientific Misconduct - trends</topic><topic>의학일반</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Park, Soyoung</creatorcontrib><creatorcontrib>Yang, Seung Ho</creatorcontrib><creatorcontrib>Jung, Eugene</creatorcontrib><creatorcontrib>Kim, Yeon Mi</creatorcontrib><creatorcontrib>Baek, Hyun Sung</creatorcontrib><creatorcontrib>Koo, Young Mo</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Korean Citation Index</collection><jtitle>Journal of Korean medical science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Park, Soyoung</au><au>Yang, Seung Ho</au><au>Jung, Eugene</au><au>Kim, Yeon Mi</au><au>Baek, Hyun Sung</au><au>Koo, Young Mo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Similarity Analysis of Korean Medical Literature and Its Association with Efforts to Improve Research and Publication Ethics</atitle><jtitle>Journal of Korean medical science</jtitle><addtitle>J Korean Med Sci</addtitle><date>2017-06-01</date><risdate>2017</risdate><volume>32</volume><issue>6</issue><spage>887</spage><epage>892</epage><pages>887-892</pages><issn>1011-8934</issn><eissn>1598-6357</eissn><abstract>In the present study, the frequency of research misconduct in Korean medical papers was analyzed using the similarity check software iThenticate®. All Korean papers written in English that were published in 2009 and 2014 in KoreaMed Synapse were identified. In total, 23,848 papers were extracted. 4,050 Journal Articles of them were randomly selected for similarity analysis. The average Similarity Index of the 4,050 papers decreased over time, particularly in 2013: in 2009 and 2014, it was 10.15% and 5.62%, respectively. And 357 (8.8%) had a Similarity Index of ≥ 20%. Authors considered a Similarity Index of ≥ 20% as suspected research misconduct. It was found that iThenticate® cannot functionally process citations without double quotation marks. Papers with a Similarity Index of ≥ 20% were thus individually checked for detecting such text-matching errors to accurately identify papers with suspected research misconduct. After correcting text-matching errors, 142 (3.5% of the 4,050 papers) were suspected of research misconduct. The annual frequency of these papers decreased over time, particularly in 2013: in 2009 and 2014, it was 5.2% and 1.7%, respectively. The decrease was associated with the introduction of CrossCheck by KoreaMed and the frequent use of similarity check software. The majority (81%) had Similarity Indices between 20% and 40%. The fact suggested that low Similarity index does not necessarily mean low possibility of research misconduct. It should be noted that, although iThenticate® provides a fundamental basis for detecting research misconduct, the final judgment should be made by experts.</abstract><cop>Korea (South)</cop><pub>The Korean Academy of Medical Sciences</pub><pmid>28480644</pmid><doi>10.3346/jkms.2017.32.6.887</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0003-1743-9020</orcidid><orcidid>https://orcid.org/0000-0001-7256-3548</orcidid><orcidid>https://orcid.org/0000-0002-7130-8382</orcidid><orcidid>https://orcid.org/0000-0002-3479-3497</orcidid><orcidid>https://orcid.org/0000-0002-3736-5797</orcidid><orcidid>https://orcid.org/0000-0002-3067-3957</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1011-8934 |
ispartof | Journal of Korean Medical Science, 2017, 32(6), 228, pp.887-892 |
issn | 1011-8934 1598-6357 |
language | eng |
recordid | cdi_nrf_kci_oai_kci_go_kr_ARTI_1379861 |
source | PubMed Central |
subjects | Duplicate Publication as Topic Editorial Policies Humans Original Plagiarism Publishing - ethics Republic of Korea Scientific Misconduct - trends 의학일반 |
title | Similarity Analysis of Korean Medical Literature and Its Association with Efforts to Improve Research and Publication Ethics |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T15%3A46%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_nrf_k&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Similarity%20Analysis%20of%20Korean%20Medical%20Literature%20and%20Its%20Association%20with%20Efforts%20to%20Improve%20Research%20and%20Publication%20Ethics&rft.jtitle=Journal%20of%20Korean%20medical%20science&rft.au=Park,%20Soyoung&rft.date=2017-06-01&rft.volume=32&rft.issue=6&rft.spage=887&rft.epage=892&rft.pages=887-892&rft.issn=1011-8934&rft.eissn=1598-6357&rft_id=info:doi/10.3346/jkms.2017.32.6.887&rft_dat=%3Cproquest_nrf_k%3E1896414600%3C/proquest_nrf_k%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c436t-1bae03fc35fbf2bec36d1c271dcfb75887a701b33f5f3eeca1b128adb31b33fa3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1896414600&rft_id=info:pmid/28480644&rfr_iscdi=true |