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      <abstractText>Interdisciplinary research figures high on today's policy agendas. This short introduction and overview sketches the complexity of defining and mapping the nature of interdisciplinary research (IDR). The paper focuses on the different approaches to IDR and different methods applied in bibliometric studies that allow measuring it. These methods should not only be able to capture quantitative aspects of IDR but also to monitor evolutionary aspects and help answer the question of whether IDR stimulates collaboration and results in larger impact and visibility. Two specific indicators, variety and disparity, are developed, validated and applied to bibliometric data. They enable the visualization of the interdisciplinary nature of research activities at various levels of analysis (both institutional and individual). And, given the longitudinal character of bibliometric data and databases, both indicators allow for mapping time-dependent phenomena and evolutions. Relevant examples based on the literature and recent results from research conducted at the Leuven bibliometrics group of ECOOM (e.g., Glanzel et al., Proceedings of the 18(th) International Conference of the International Society of Scientometrics and Informetrics, 453-464, 2021; Huang et al., Proceedings of the 18(th) International Conference of the International Society of Scientometrics and Informetrics, 533-538, 2021) are given, and concrete proposals for future research are articulated.</abstractText>
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      <label>Glanzel Wolfgang et al. Various aspects of interdisciplinarity in research and how to quantify and measure those. 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		&lt;div class=&quot;autype autype0&quot;&gt;				&lt;span class=&quot;author-name&quot; &gt;Gorraiz Juan
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							&lt;span class=&quot;author-name&quot; &gt;Ulrych Ursula
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							&lt;span class=&quot;author-name&quot; &gt;Arroyo-Machado Wenceslao
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							&lt;span class=&quot;author-name&quot; &gt;Torres-Salinas Daniel ✉
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&lt;div class=&quot;title&quot;&gt;&lt;a href=&quot;/gui2/?mode=browse&amp;params=publication;34375785&quot; target=&quot;_blank&quot;&gt;Measuring the excellence contribution at the journal level: an alternative to Garfield&apos;s impact factor&lt;/a&gt;&lt;/div&gt;    &lt;div&gt;		&lt;span class=&quot;journal-title&quot;&gt;SCIENTOMETRICS&lt;/span&gt;

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	pp 7229-7251
			
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				&lt;div class=&quot;journal-subject&quot;&gt;Folyóirat szakterülete: Scopus - Computer Science Applications&amp;nbsp;&amp;nbsp;&amp;nbsp;SJR indikátor:&amp;nbsp;Q1&lt;/div&gt;
				&lt;div class=&quot;journal-subject&quot;&gt;Folyóirat szakterülete: Scopus - Library and Information Sciences&amp;nbsp;&amp;nbsp;&amp;nbsp;SJR indikátor:&amp;nbsp;Q1&lt;/div&gt;
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		| Függő: 0
		| Nem jelölt: 0
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Forrás	 Idéző
	
	
		 Duplumgyanú
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        &lt;div class=&quot;duplumMark&quot;&gt;Duplumjelölés:
            
            2025.12.27. 09:28
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      <abstractText>Aims Comprehensive data on research undertaken in cardiovascular medicine can inform the scientific community and can support policy building. We used the publication output from 2004 to 2013 and the 2014 references to these documents, to identify research topics and trends in the field of cardiovascular disease.Methods and results Text fragments were extracted from the titles and abstracts of 478 000 publications using natural language processing. Through machine-learning algorithms, these text fragments combined to identify specific topics across all publications. A second method, which included cross-references, assigned each publication document to a specific cluster. Experts named the topics and document clusters based on various outputs from these semi-automatic methods. We identified and labelled 175 cardiovascular topics and 20 large document clusters, with concordance between the approaches. Overarching, strongly growing topics in clinical and population sciences are evidence-based guidance for treatment, research on outcomes, prognosis, and risk factors. 'Hot' topics include novel treatments in valve disease and in coronary artery disease, and imaging. Basic research decreases its share over time but sees substantial growth of research on stem cells and tissue engineering, as well as in translational research. Inflammation, biomarkers, metabolic syndrome, obesity, and lipids are hot topics across population, clinical and basic research, supporting integration across the cardiovascular field.Conclusion Growth in clinical and population research emphasizes improving patient outcomes through novel treatments, risk stratification, and prevention. Translation and innovation redefine basic research in cardiovascular disease. Medical need, funding and publishing policies, and scientific opportunities are potential drivers for these evolutions.</abstractText>
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      <abstractText>The objective of this paper is to explore the impact of preprints in scholarly and broader scientific communication. in particular, the following four indicators are used to examine the 550 arXiv and 5782 non-arXiv papers in three major journals in Library &amp; Information Science (LIS): citations from Web of Science Core Collection (WoS), Scopus and Google Scholar, usage counts in WoS, Mendeley readers and Tweets. The results show that arXiv papers have significant citation advantage across WoS, Scopus and Google Scholar in each year. Google Scholar provides statistically significantly larger number of citations and more 'early citations' than Scopus and WoS, but does not reflect greater citation advantage for arXiv papers. The impact advantage of arXiv papers can also be observed in Mendeley, but to a much lesser extent in WoS usage counts and in Tweets, indicating that arXiv papers gain broader attention than non-arXiv papers not only from users of the WoS. Mendeley readership as well as the usage counts in WoS have strong correlations with WoS citations, which are much stronger than those of Tweets. We can also conclude that unlike citations, information derived from statistics on users, readers and social media needs further exploration and in the case of social media also proper context analysis.</abstractText>
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&lt;div class=&quot;InBook&quot;&gt;In: Ruocco, G; Moed, HF; Gregori, M; Daraio, C; Catalano, G (szerk.) &lt;span class=&quot;booktitle&quot;&gt;&lt;a href=&quot;/gui2/?mode=browse&amp;params=publication;31583672&quot; target=&quot;_blank&quot;&gt;17TH INTERNATIONAL CONFERENCE ON SCIENTOMETRICS &amp; INFORMETRICS (ISSI2019), VOL I-II &lt;/a&gt;&lt;/span &gt; &lt;/div&gt;&lt;div class=&quot;pub-info&quot;&gt; &lt;span class=&quot;publishedAt&quot;&gt;Leuven, Belgium : &lt;span class=&quot;publisher&quot;&gt;International Society for Scientometrics and Informetrics (ISSI)&lt;/span&gt; &lt;span class=&quot;year&quot;&gt;(2019)&lt;/span&gt; &lt;span class=&quot;page&quot;&gt; pp. 459-470. , 12 p. &lt;/span&gt; &lt;/div&gt; &lt;div class=&quot;pub-end&quot;&gt;&lt;div class=&quot;identifier-list&quot;&gt; &lt;span class=&quot;identifiers&quot;&gt; &lt;span class=&quot;id identifier oa_none&quot; title=&quot;none&quot;&gt; &lt;a style=&quot;color:blue&quot; title=&quot;000508217900044&quot; 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      <label>Bornmann L et al. Which differences can be expected when two universities in the Leiden Ranking are compared? Some benchmarks for institutional research evaluations. 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