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

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Altmetrics for the Humanities: Comparing Goodreads reader ratings with citations to history books. / Zuccala, Alesia Ann; Verleysen, Frederik; Cornacchia, Roberto; Engels, Tim.

In: Aslib Journal of Information Management, Vol. 67, No. 3, 2015, p. 320-336.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Zuccala, AA, Verleysen, F, Cornacchia, R & Engels, T 2015, 'Altmetrics for the Humanities: Comparing Goodreads reader ratings with citations to history books.', Aslib Journal of Information Management, vol. 67, no. 3, pp. 320-336. https://doi.org/10.1108/AJIM-11-2014-0152

APA

Zuccala, A. A., Verleysen, F., Cornacchia, R., & Engels, T. (2015). Altmetrics for the Humanities: Comparing Goodreads reader ratings with citations to history books. Aslib Journal of Information Management, 67(3), 320-336. https://doi.org/10.1108/AJIM-11-2014-0152

Vancouver

Zuccala AA, Verleysen F, Cornacchia R, Engels T. Altmetrics for the Humanities: Comparing Goodreads reader ratings with citations to history books. Aslib Journal of Information Management. 2015;67(3):320-336. https://doi.org/10.1108/AJIM-11-2014-0152

Author

Zuccala, Alesia Ann ; Verleysen, Frederik ; Cornacchia, Roberto ; Engels, Tim. / Altmetrics for the Humanities: Comparing Goodreads reader ratings with citations to history books. In: Aslib Journal of Information Management. 2015 ; Vol. 67, No. 3. pp. 320-336.

Bibtex

@article{67fea9291d844ef49a68dc63ba4289d4,
title = "Altmetrics for the Humanities: Comparing Goodreads reader ratings with citations to history books.",
abstract = "Purpose:This paper assesses the value of Goodreads reader ratings as an altmetric research tool 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 using an API in WorldCat.org (for publisher information) as well as Goodreads (for reader ratings). A set of N=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{\%}) was analyzed separately based on additional characteristics. Findings:A weak correlation (0.212) was found between citation counts and reader rating counts for the full dataset (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 was more likely to be given to a book on Goodreads if the book was held in an international library, including both public and academic libraries. Originality/Value:Altmetrics research 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 tool Goodreads can allow scholarly authors from the social sciences and humanities to measure the wider impact of their books.",
keywords = "Faculty of Humanities, Books, History, Altmetrics, Social Media Metrics, Reader Recommendation Systems",
author = "Zuccala, {Alesia Ann} and Frederik Verleysen and Roberto Cornacchia and Tim Engels",
year = "2015",
doi = "10.1108/AJIM-11-2014-0152",
language = "English",
volume = "67",
pages = "320--336",
journal = "Aslib Journal of Information Management",
issn = "2050-3806",
publisher = "Emerald Group Publishing",
number = "3",

}

RIS

TY - JOUR

T1 - Altmetrics for the Humanities: Comparing Goodreads reader ratings with citations to history books.

AU - Zuccala, Alesia Ann

AU - Verleysen, Frederik

AU - Cornacchia, Roberto

AU - Engels, Tim

PY - 2015

Y1 - 2015

N2 - Purpose:This paper assesses the value of Goodreads reader ratings as an altmetric research tool 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 using an API in WorldCat.org (for publisher information) as well as Goodreads (for reader ratings). A set of N=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%) was analyzed separately based on additional characteristics. Findings:A weak correlation (0.212) was found between citation counts and reader rating counts for the full dataset (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 was more likely to be given to a book on Goodreads if the book was held in an international library, including both public and academic libraries. Originality/Value:Altmetrics research 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 tool Goodreads can allow scholarly authors from the social sciences and humanities to measure the wider impact of their books.

AB - Purpose:This paper assesses the value of Goodreads reader ratings as an altmetric research tool 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 using an API in WorldCat.org (for publisher information) as well as Goodreads (for reader ratings). A set of N=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%) was analyzed separately based on additional characteristics. Findings:A weak correlation (0.212) was found between citation counts and reader rating counts for the full dataset (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 was more likely to be given to a book on Goodreads if the book was held in an international library, including both public and academic libraries. Originality/Value:Altmetrics research 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 tool Goodreads can allow scholarly authors from the social sciences and humanities to measure the wider impact of their books.

KW - Faculty of Humanities

KW - Books

KW - History

KW - Altmetrics

KW - Social Media Metrics

KW - Reader Recommendation Systems

U2 - 10.1108/AJIM-11-2014-0152

DO - 10.1108/AJIM-11-2014-0152

M3 - Journal article

VL - 67

SP - 320

EP - 336

JO - Aslib Journal of Information Management

JF - Aslib Journal of Information Management

SN - 2050-3806

IS - 3

ER -

ID: 135217606