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Article
Publication date: 19 November 2018

Scholarly books and their evaluation context in the social sciences and humanities

Alesia A. Zuccala, Elea Giménez-Toledo and Ginevra Peruginelli

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Aslib Journal of Information Management, vol. 70 no. 6
Type: Research Article
DOI: https://doi.org/10.1108/AJIM-11-2018-271
ISSN: 2050-3806

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Article
Publication date: 18 May 2015

Altmetrics for the humanities: Comparing Goodreads reader ratings with citations to history books

Alesia A Zuccala, Frederik T. Verleysen, Roberto Cornacchia and Tim C.E. Engels

– The purpose of this paper is to assess the value of Goodreads reader ratings for measuring the wider impact of scholarly books published in the field of History.

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Abstract

Purpose

The purpose of this paper is to assess the value of Goodreads reader ratings for measuring the wider impact of scholarly books published in the field of History.

Design/methodology/approach

Book titles were extracted from the reference lists of articles that appeared in 604 history journals indexed in Scopus (2007-2011). The titles were cleaned and matched with WorldCat.org (for publisher information) as well as Goodreads (for reader ratings) using an API. A set of 8,538 books was first filtered based on Dewey Decimal Classification class 900 “History and Geography”, then a subset of 997 books with the highest citations and reader ratings (i.e. top 25 per cent) was analysed separately based on additional characteristics.

Findings

A weak correlation (0.212) was found between citation counts and reader rating counts for the full data set (n=8,538). An additional correlation for the subset of 997 books indicated a similar weak correlation (0.190). Further correlations between citations, reader ratings, written reviews, and library holdings indicate that a reader rating on Goodreads was more likely to be given to a book held in an international library, including both public and academic libraries.

Originality/value

Research on altmetrics has focused almost exclusively on scientific journal articles appearing on social media services (e.g. Twitter, Facebook). In this paper we show the potential of Goodreads reader ratings to identify the impact of books beyond academia. As a unique altmetric data source, Goodreads can allow scholarly authors from the social sciences and humanities to measure the wider impact of their books.

Details

Aslib Journal of Information Management, vol. 67 no. 3
Type: Research Article
DOI: https://doi.org/10.1108/AJIM-11-2014-0152
ISSN: 2050-3806

Keywords

  • History
  • Books
  • Altmetrics
  • Scholarly communication
  • Citation analysis
  • Reader recommendation systems

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Article
Publication date: 31 July 2007

Web intelligence analyses of digital libraries: A case study of the National electronic Library for Health (NeLH)

Alesia Zuccala, Mike Thelwall, Charles Oppenheim and Rajveen Dhiensa

The purpose of this paper is to explore the use of LexiURL as a Web intelligence tool for collecting and analysing links to digital libraries, focusing specifically on the…

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Abstract

Purpose

The purpose of this paper is to explore the use of LexiURL as a Web intelligence tool for collecting and analysing links to digital libraries, focusing specifically on the National electronic Library for Health (NeLH).

Design/methodology/approach

The Web intelligence techniques in this study are a combination of link analysis (web structure mining), web server log file analysis (web usage mining), and text analysis (web content mining), utilizing the power of commercial search engines and drawing upon the information science fields of bibliometrics and webometrics. LexiURL is a computer program designed to calculate summary statistics for lists of links or URLs. Its output is a series of standard reports, for example listing and counting all of the different domain names in the data.

Findings

Link data, when analysed together with user transaction log files (i.e. Web referring domains) can provide insights into who is using a digital library and when, and who could be using the digital library if they are “surfing” a particular part of the Web; in this case any site that is linked to or colinked with the NeLH. This study found that the NeLH was embedded in a multifaceted Web context, including many governmental, educational, commercial and organisational sites, with the most interesting being sites from the.edu domain, representing American Universities. Not many links directed to the NeLH were followed on September 25, 2005 (the date of the log file analysis and link extraction analysis), which means that users who access the digital library have been arriving at the site via only a few select links, bookmarks and search engine searches, or non‐electronic sources.

Originality/value

A number of studies concerning digital library users have been carried out using log file analysis as a research tool. Log files focus on real‐time user transactions; while LexiURL can be used to extract links and colinks associated with a digital library's growing Web network. This Web network is not recognized often enough, and can be a useful indication of where potential users are surfing, even if they have not yet specifically visited the NeLH site.

Details

Journal of Documentation, vol. 63 no. 4
Type: Research Article
DOI: https://doi.org/10.1108/00220410710759011
ISSN: 0022-0418

Keywords

  • Digital libraries
  • Worldwide web
  • Search engines
  • Generation and dissemination of information
  • Transmission control protocol/internet protocol
  • Communication technologies

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Article
Publication date: 18 May 2015

Guest editorial: social media in scholarly communication

Stefanie Haustein, Cassidy Sugimoto and Vincent Larivière

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Abstract

Details

Aslib Journal of Information Management, vol. 67 no. 3
Type: Research Article
DOI: https://doi.org/10.1108/AJIM-03-2015-0047
ISSN: 2050-3806

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Article
Publication date: 27 April 2010

Annual Review of Information Science and Technology (ARIST), Volume 43

Mary A. Burke

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Details

Program, vol. 44 no. 2
Type: Research Article
DOI: https://doi.org/10.1108/00330331011039526
ISSN: 0033-0337

Keywords

  • Information science
  • Information studies
  • Information systems
  • Information retrieval

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