Differing disciplinary citation concentration patterns of book and journal literature?

Chi, Pei-Shan

doi:10.1016/j.joi.2016.05.005

Cited by 27 publications

(22 citation statements)

References 48 publications

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“…The reference patterns of the social sciences are much more similar to science fields than to humanities (see Figure ). As discussed in the previous study (Chi, ), humanities has the most distinct citation distributions among all the fields. Its exceptional reference patterns shown in the present study may reveal the cause of the citation patterns reported in Chi ().…”

Section: Discussionmentioning

confidence: 57%

“…As discussed in the previous study (Chi, ), humanities has the most distinct citation distributions among all the fields. Its exceptional reference patterns shown in the present study may reveal the cause of the citation patterns reported in Chi (). Furthermore, the journal papers in the social sciences are more isolated from science fields in Figure than the monographs in the social sciences.…”

Section: Discussionmentioning

confidence: 57%

“…With the new data source, a deeper understanding of the peculiarities of publication, reception and use of book literature is necessary before bibliometric indicators can be developed and applied in an evaluative context. Following up the results of a previous study (Chi, ), which was devoted to the analysis of the distinct citation patterns of books alongside those of journal literature indexed in the WoS, in the present study I will study cited references of the two publication types to complete the exploration of the new data source.…”

Section: Introductionmentioning

confidence: 99%

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The field‐specific reference patterns of periodical and nonserial publications

Chi

2018

Asso for Info Science & Tech

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and across 15 disciplines. Journal article authors cite more recent references and more references from serial publications than monograph authors. The difference between the sciences and the SSH is as obvious as the difference between periodical and non-serial publications. However, the reference patterns of social sciences are much more similar to science fields than humanities, especially for monographs. The subject characteristics of reference pattern are strongly affected by publication types. Furthermore, journal publications have stronger associations between ageing indicators and the share of WoS journal references than monographs.

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Section: Discussionmentioning

confidence: 57%

Section: Discussionmentioning

confidence: 57%

Section: Introductionmentioning

confidence: 99%

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The field‐specific reference patterns of periodical and nonserial publications

Chi

2018

Asso for Info Science & Tech

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“…An avalanche of studies exploring new data sources took place at the beginning of the decade, with the launch of Web of Science's Book Citation Index (Leydesdorff and Felt, 2012;Gorraiz, Purnell and Glänzel, 2013;Torres-Salinas, Robinson-Garcia, et al, 2014), the inclusion of books in Scopus (Kousha, Thelwall and Rezaie, 2011) and the increase in research focused on Google Scholar (Kousha, Thelwall and Rezaie, 2011) and Google Books (Abdullah and Thelwall, 2014;Kousha and Thelwall, 2015a). They have also brought to light some of the characteristics and peculiarities (Torres-Salinas et al, 2012, 2013Torres-Salinas, Robinson-García, et al, 2014;Chi, 2016;Glänzel, Thijs and Chi, 2016), which cannot be discerned on the basis of micro-analytic case studies or small samples of data.…”

Section: Antecedentsmentioning

confidence: 99%

The insoluble problems of books: what does Altmetric.com have to offer?

Torres‐Salinas

Gorraiz

Robinson-García

2018

AJIM

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Purpose: Analyze the capabilities, functionalities and appropriateness of Altmetric.com as a data source for the bibliometric analysis of books in comparison to PlumX. Methodology:We perform an exploratory analysis on the metrics the Altmetric Explorer for Institutions platform offers for books. We use two distinct datasets of books. On the one hand, we analyze the Book Collection included in Altmetric.com. On the other, we use Clarivate's Master Book List, to analyze Altmetric.com's capabilities to download and merge data with external databases. Finally, we compare our findings with those obtained in a previous study performed in PlumX. Findings:Altmetric.com combines and orderly tracks a set of data sources combined by DOI identifiers to retrieve metadata from books, being Google Books its main provider. It also retrieves information from commercial publishers and from some Open Access initiatives, including those led by university libraries such as Harvard Library. We find issues with linkages between records and mentions or ISBN discrepancies. Furthermore, we find that automatic bots affect greatly Wikipedia mentions to books. Our comparison with PlumX suggests that none of these tools provide a complete picture of the social attention generated by books and are rather complementary than comparable tools. Practical implications:This study targets different audiences which can benefit from our findings. First, bibliometricians and researchers who seek for alternative sources to develop bibliometric analyses of books, with a special focus on the Social Sciences and Humanities fields. Second, librarians and research managers who are the main clients to which these tools are directed. Third, Altmetric.com itself as well as other altmetric providers who might get a better understanding of the limitations users encounter and improve this promising tool.Originality/value: This is the first study to analyze Altmetric.com's functionalities and capabilities for providing metric data for books and to compare results from this platform, with those obtained via PlumX.

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“…The Hirschman-Herfindahl Index (HHI) has been long used to measure market concentration as shown by Rhoades (1993), being preferred to entropy as shown by Hart (1971) and classical concentration indices as proven by Naldi (2003). It has been used in civil aviation (Lijesen et al, 2002), the book industry (Greco, 2000;Chi, 2016), the food processing industry (Lopez et al, 2002), telecommunications, media and the Internet (Noam, 2008;Noam, 2013;VV.AA., 2013;Naldi, 2016a b), the newspaper industry ( van Kranenburg, 2002) and the retail gasoline market (Nowakowski et al, 2016), just to name a few. It has been employed to evaluate industries (Blackorby et al, 1982) and welfare analysis (Dansby and Willig, 1979), although being criticised in the banking industry (Hannan, 1997;Alegria and Schaeck, 2008) and for analysing mergers (Anbarci and Katzman, 2015).…”

Section: Introductionmentioning

confidence: 99%

Censoring and Distortion in the Hirschman–Herfindahl Index Computation

Naldi

Flamini

2017

J of App Econs and Policy

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The Hirschman–Herfindahl Index (HHI) is a well known measure of market concentration. However, its exact computation would require the knowledge of the market share of all the companies. In this paper, accurate estimates of the HHI are computed even if just the market shares of the top companies are known (or just the top company and a few scattered ranked companies), by providing tight lower and upper bounds for the HHI. Similarly, when just the sales of the top companies are known, an upper bound is provided, which is the most relevant value if dominant positions have to be identified.

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Differing disciplinary citation concentration patterns of book and journal literature?

Cited by 27 publications

References 48 publications

The field‐specific reference patterns of periodical and nonserial publications

The field‐specific reference patterns of periodical and nonserial publications

The insoluble problems of books: what does Altmetric.com have to offer?

Censoring and Distortion in the Hirschman–Herfindahl Index Computation

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