The journal coverage of Web of Science and Scopus: a comparative analysis

Mongeon, Philippe; Paul‐Hus, Adèle

doi:10.1007/s11192-015-1765-5

Cited by 2,652 publications

(1,751 citation statements)

References 22 publications

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“…However, WoS is a more selective index, since it includes about 18,200 journals and proceedings in its Core Collection. According to Mongeon and Paul-Hus [9], there were exactly 13,605 journals in WoS in 2014. With about 22,800 serial titles, 20,346 of which are journals [9], Scopus is more inclusive.…”

Section: Methodsmentioning

confidence: 99%

“…According to Mongeon and Paul-Hus [9], there were exactly 13,605 journals in WoS in 2014. With about 22,800 serial titles, 20,346 of which are journals [9], Scopus is more inclusive. Compared to Ulrich's with around 63,013 active academic journals [9], both databases cover only minor parts of the entire scientific production.…”

Section: Methodsmentioning

confidence: 99%

“…"The coverage of journals in cited reference enhanced databases can be surprisingly uneven," Jacsó ( [5], p. 278) states. So completeness can vary from author to author as well as from database to database [6][7][8][9]. Furthermore, not every researcher has the same database collection access (e.g., WoS with or without Book Citation Index).…”

Section: Relative Visibilitymentioning

confidence: 99%

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Truebounded, Overbounded, or Underbounded? Scientists’ Personal Publication Lists versus Lists Generated through Bibliographic Information Services

2018

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Abstract:A truebounded publication list of a scientific author consists of exactly all publications that meet two criteria: (1) they are formally published (e.g., journal article or proceeding paper); (2) they have scientific, scholarly, or academic content. A publication list is overbounded if it includes documents which do not meet the two criteria (such as novels); a publication list is underbounded if it is incomplete. Are authors' personal publication lists, found on their personal sites on the Internet or in institutional repositories, truebounded, overbounded, or underbounded? And are the respective publication lists generated through bibliographic information services truebounded, overbounded, or underbounded? As case studies, publications of nine International Society of Scientometrics and Informetrics (ISSI) Committee members (published between 2007 and 2016) were collected to create preferably complete personal publication lists according to the two criteria. We connect the "relative visibility of an author" with the concepts of truebounded, overbounded, and underbounded publication lists. The authors' relative visibility values were determined for the information services Web of Science (WoS), Scopus, and Google Scholar and compared to the relative visibility of the authors' personal publication lists. All results of the bibliographic information services are underbounded. Relative visibility is highest in Google Scholar, followed by Scopus and WoS.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Relative Visibilitymentioning

confidence: 99%

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Truebounded, Overbounded, or Underbounded? Scientists’ Personal Publication Lists versus Lists Generated through Bibliographic Information Services

2018

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“…We chose a database providing statistical functions, Scopus ® , owned by Elsevier ® which offers a better coverage of the humanities, social sciences, and public health than WoS ® (14).…”

Section: Methodsmentioning

confidence: 99%

Health Technology Assessment: The Scientific Career of a Policy Concept

Benoît

Gorry²

2017

Int J Technol Assess Health Care

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Objectives: The aim of this work was to provide a comprehensive overview of the evolution of the health technology assessment (HTA) concept in the scientific literature through a scientometric approach. Methods: A literature search was conducted, by selecting publications, as well as news from the media, containing "health technology assessment" in their title, abstracts, or keywords. We then undertook a bibliometric and network analysis on the corpus of 2,865 publications thus obtained. Results: Since a first publication in 1978, interest in HTA remained marginal until a turning point in the late 1980s, when growth of the number of publications took off alongside the creation of the U.K.'s NICE agency. Since then, publications have spread across several journals. The ranking of the organizations that publish such articles does not reflect any hegemonic position. However, HTA-related scientific production is strongly concentrated in Commonwealth and Nordic countries. Despite its transnational aspects, research on HTA has been framed within a small number of scientific networks and by a few opinion leaders. Conclusions: The "career" of the HTA concept may be seen as a scientific-knowledge based institutionalization of a public policy. To succeed in a country, HTA first needs scientific prerequisites, such as an organized scientific community working on the health sector and health services. Then, it appears that the recognition of this research by decision makers plays a key role in the development of the field.

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“…Lastly, the variety of publication venues, languages, scholarly communities in the arts and humanities is broader, making reference practices and styles less uniform. For these and other reasons, the scholarly literature from the arts and humanities is still not well indexed (Mongeon and Paul-Hus, 2016) nor studied (Ardanuy, 2013) using citation data.…”

Section: Introductionmentioning

confidence: 99%

Deep Reference Mining From Scholarly Literature in the Arts and Humanities

Alves

Colavizza

Kaplan

2018

Front. Res. Metr. Anal.

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We consider the task of reference mining: the detection, extraction and classification of references within the full text of scholarly publications. Reference mining brings forward specific challenges, such as the need to capture the morphology of highly abbreviated words and the dependence among the elements of a reference, both following codified reference styles. This task is particularly difficult, and little explored, with respect to the literature in the arts and humanities, where references are mostly given in footnotes. We apply a deep learning architecture for reference mining from the full text of scholarly publications. We explore and discuss three architectural components: word and character-level word embeddings, different prediction layers (Softmax and Conditional Random Fields) and multi-task over single-task learning. Our best model uses both pre-trained word embeddings and characters embeddings, and a BiLSTM-CRF architecture. We test our solution on a dataset of annotated references from the historiography on Venice and, using a linear-chain CRF classifier as a baseline, we show that this deep learning architecture improves by a considerable margin. Furthermore, multi-task learning performs almost on par with a single-task approach. We thus confirm that there are important gains to be had by adopting deep learning for the task of reference mining.

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The journal coverage of Web of Science and Scopus: a comparative analysis

Cited by 2,652 publications

References 22 publications

Truebounded, Overbounded, or Underbounded? Scientists’ Personal Publication Lists versus Lists Generated through Bibliographic Information Services

Truebounded, Overbounded, or Underbounded? Scientists’ Personal Publication Lists versus Lists Generated through Bibliographic Information Services

Health Technology Assessment: The Scientific Career of a Policy Concept

Deep Reference Mining From Scholarly Literature in the Arts and Humanities

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