2004
DOI: 10.1023/b:scie.0000037363.49623.28
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Bibliometric analysis of Severe Acute Respiratory Syndrome-related research in the beginning stage

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Cited by 83 publications
(77 citation statements)
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References 9 publications
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“…Of these documents, 70% were research articles, 10% reviews, 7.8% news items, 4.7% meeting abstracts, 4.5% editorial material, 3.9% proceedings papers, 1.6% letters, 0.62% corrections, 0.49% notes, 0.43% reprints, 0.12% book chapters and 0.062% biographical-items. The percentage of articles related to Ebola was lower than general medically-related fields, such as asthma in children 14 and Japanese lung cancer research 15 , but was much higher than special infection research of severe acute respiratory syndrome 16 and Helicobacter pylori 17 . It was also noticeable that the document type, 'news items', took the third position.…”
Section: Document Type and Language Of Publicationmentioning
confidence: 99%
See 1 more Smart Citation
“…Of these documents, 70% were research articles, 10% reviews, 7.8% news items, 4.7% meeting abstracts, 4.5% editorial material, 3.9% proceedings papers, 1.6% letters, 0.62% corrections, 0.49% notes, 0.43% reprints, 0.12% book chapters and 0.062% biographical-items. The percentage of articles related to Ebola was lower than general medically-related fields, such as asthma in children 14 and Japanese lung cancer research 15 , but was much higher than special infection research of severe acute respiratory syndrome 16 and Helicobacter pylori 17 . It was also noticeable that the document type, 'news items', took the third position.…”
Section: Document Type and Language Of Publicationmentioning
confidence: 99%
“…It was also noticeable that the document type, 'news items', took the third position. A high percentage of news items could also be found in severe acute respiratory syndrome (SARS) research 16 , which was studied after its outbreak in 2003 18 .…”
Section: Document Type and Language Of Publicationmentioning
confidence: 99%
“…Tian et al (2008) used the Institute for Scientific Information (ISI) database to measure scientific output of the field of Geographic Information System (GIS) using keywords. Similar approaches have been made to map knowledge evolution in other fields, such as software engineering (Coulter et al 1998), chemistry (Callon et al 1991), scientometrics (Courtial 1994), neural network research (Noyons and Van Raan 1998;Van Raan and Tijssen 1993), biological safety (Cambrosio et al 1993), optomechatronics (Noyons and Van Raan 1994), bioeletronics (Hinze 1994), adverse drug reactions (Rikken et al 1995;Clarke et al 2007), biotechnology (Rip and Courtial 1984;De Looze and Lemarié 1997), environmental science (Ho 2007), condensed matter physics (Bhattacharya and Basu 1998), severe acute respiratory syndrome (SARS), tsunami (Chiu et al 2004;Chiu and Ho 2007), and Parkinson's disease (Li et al 2008).…”
mentioning
confidence: 94%
“…Bibliometric analyses can reveal temporal dynamics of scholarly outputs, spatial and institutional distributions of publications, scientific collaborations, and major research directions [30][31][32]. The traditional bibliometric methods usually focus on the citation and content analysis.…”
Section: Introductionmentioning
confidence: 99%