Coverage of academic citation databases compared with coverage of scientific social media

2015 ◽  
Vol 39 (2) ◽  
pp. 255-264 ◽  
Author(s):  
Fee Hilbert ◽  
Julia Barth ◽  
Julia Gremm ◽  
Daniel Gros ◽  
Jessica Haiter ◽  
...  
Keyword(s):  
Social Media ◽  
Information Science ◽  
Web Of Science ◽  
Information Services ◽  
Google Scholar ◽  
Content Type ◽  
Calibration Parameter ◽  
German Speaking ◽  
Citation Databases ◽  
Practical Implications

Purpose – The purpose of this paper is to show how the coverage of publications is represented in information services. Academic citation databases (Web of Science, Scopus, Google Scholar) and scientific social media (Mendeley, CiteULike, BibSonomy) were analyzed by applying a new method: the use of personal publication lists of scientists. Design/methodology/approach – Personal publication lists of scientists of the field of information science were analyzed. All data were taken in collaboration with the scientists in order to guarantee complete publication lists. Findings – The demonstrated calibration parameter shows the coverage of information services in the field of information science. None of the investigated databases reached a coverage of 100 percent. However Google Scholar covers a greater amount of publications than other academic citation databases and scientific social media. Research limitations/implications – Results were limited to the publications of scientists working at an information science department from 2003 to 2012 at German-speaking universities. Practical implications – Scientists of the field of information science are encouraged to review their publication strategy in case of quality and quantity. Originality/value – The paper confirms the usefulness of personal publication lists as a calibration parameter for measuring coverage of information services.

scholarly journals Personal Publications Lists Serve as a Reliable Calibration Parameter to Compare Coverage in Academic Citation Databases with Scientific Social Media

2017 ◽  
Vol 12 (1) ◽  
pp. 125 ◽  
Author(s):  
Emma Hughes
Keyword(s):  
Social Media ◽  
Information Science ◽  
Web Of Science ◽  
Google Scholar ◽  
Online Information ◽  
Calibration Parameter ◽  
German Speaking ◽  
Coverage Rates ◽  
Citation Databases ◽  
Calibration Parameters

A Review of: Hilbert, F., Barth, J., Gremm, J., Gros, D., Haiter, J., Henkel, M., Reinhardt, W., & Stock, W.G. (2015). Coverage of academic citation databases compared with coverage of scientific social media: personal publication lists as calibration parameters. Online Information Review 39(2): 255-264. http://dx.doi.org/10.1108/OIR-07-2014-0159 Abstract Objective – The purpose of this study was to explore coverage rates of information science publications in academic citation databases and scientific social media using a new method of personal publication lists as a calibration parameter. The research questions were: How many publications are covered in different databases, which has the best coverage, and what institutions are represented and how does the language of the publication play a role? Design – Bibliometric analysis. Setting – Academic citation databases (Web of Science, Scopus, Google Scholar) and scientific social media (Mendeley, CiteULike, Bibsonomy). Subjects – 1,017 library and information science publications produced by 76 information scientists at 5 German-speaking universities in Germany and Austria. Methods – Only documents which were published between 1 January 2003 and 31 December 2012 were included. In that time the 76 information scientists had produced 1,017 documents. The information scientists confirmed that their publication lists were complete and these served as the calibration parameter for the study. The citations from the publication lists were searched in three academic databases: Google Scholar, Web of Science (WoS), and Scopus; as well as three social media citation sites: Mendeley, CiteULike, and BibSonomy and the results were compared. The publications were searched for by author name and words from the title. Main results – None of the databases investigated had 100% coverage. In the academic databases, Google Scholar had the highest amount of coverage with an average of 63%, Scopus an average of 31%, and lowest was WoS with an average of 15%. On social media sites, Bibsonomy had the highest coverage with an average of 24%, Mendeley had an average coverage of 19%, and the lowest coverage was CiteULike with an average of 8%. Conclusion – The use of personal publication lists are reliable calibration parameters to compare coverage of information scientists in academic citation databases with scientific social media. Academic citation databases had a higher coverage of publications, in particular, Google Scholar, compared to scientific social media sites. The authors recommend that information scientists personally publish work on social media citation databases to increase exposure. Formulating a publication strategy may be useful to identify journals with the most exposure in academic citation databases. Individuals should be encouraged to keep personal publication lists and these can be used as calibration parameters as a measure of coverage in the future.

What is the relationship between marketing of library sources and services and social media? A literature review paper

2020 ◽  
Vol 37 (3) ◽  
pp. 1-5
Author(s):  
Muhammad Anwar ◽  
Tang Zhiwei
Keyword(s):  
Social Media ◽  
Information Science ◽  
Library And Information Science ◽  
Content Type ◽  
Related Literature ◽  
Close Relationship ◽  
The Relationship ◽  
Massive Information ◽  
Library Marketing ◽  
Practical Implications

Purpose The aim of this study is to determine the relationship between social media and libraries in terms of marketing. The present research is to find out the factors and impact as well as the issues related to libraries and marketing using social media. This study will give massive information regarding social media use for the marketing of library sources and services. Design/methodology/approach This study so far has been taken into account to review all the related literature of social media and library marketing. All the related literature studies were reviewed according to the suggested objectives of the study. Findings The present study reveals after reviewing literature that there is a great impact of social media on libraries. The literature shows that social media is the biggest change in the twenty-firstst century for library professionals and librarians. The reviewed literature studies have discovered that the libraries are facing too many challenges and issues to the adoption of social media for the marketing of library sources and services. The collected and analyzed works of the literature indicated that social media would be the best tool to promote library sources and services. Research limitations/implications This research or study can serve the LIS professionals and librarians in the field of library and information science and librarianships that they are looking for the adoption and application of social media in the marketing of library sources and services to the targeted customers. Practical implications This research or study can serve the LIS professionals and Librarians in the field of library and information science and librarianships that they are looking for the adoption and application of social media in the marketing of library sources and services to the targeted customers. Originality/value To the best of the authors’ knowledge, this study is one of the first among those researches that is to disclose the close relationship between social media and libraries in terms of marketing of library sources and services.

scholarly journals The impact of open access citation and social media on leading top Information Science journals

2018 ◽  
Vol 32 (77) ◽  
pp. 117 ◽  
Author(s):  
Paulo Roberto Cintra ◽  
Ariadne Chloe Furnival ◽  
Douglas Henrique Milanez
Keyword(s):  
Social Media ◽  
Open Access ◽  
Information Science ◽  
Web Of Science ◽  
Google Scholar ◽  
Redes Sociales ◽  
Journal Citation Reports ◽  
Acceso Abierto ◽  
The Impact ◽  
Journal Citation

El objetivo de esta investigación fue verificar las posibles ventajas que el acceso abierto puede ofrecer al área de la Ciencia de la Información. Para ello, se analizaron los indicadores bibliométricos de citas y los datos de altmetría en 16 revistas científicas híbridas, seleccionadas mediante el Journal Citation Reports y filtradas con base en sus respectivos factores de impacto. La recolección de datos fue realizada en Web of Science, Google Scholar, Altmetric.com y Mendeley. Esta verificación se realizó en dos periodos de tiempo diferentes para examinar si hubo alguna influencia del acceso abierto en el tiempo. Los resultados indican que el acceso abierto puede ofrecer una ventaja en el número de citas y menciones en las redes sociales para el conjunto de artículos de las revistas analizadas aquí, y que esta ventaja es mayor para los casos en que los autores pagaron el cargo por procesamiento del artículo a garantizar la disponibilidad inmediata del artículo en acceso abierto al momento de la publicación. En la conclusión se afirma que no es sólo el acceso abierto el que provoca una mayor cantidad de citas a un artículo, aunque ayuda, sino la calidad del propio artículo.

Usage, captures, mentions, social media and citations of LIS highly cited papers: an altmetrics study

2019 ◽  
Vol 20 (1) ◽  
pp. 37-47 ◽  
Author(s):  
Mohammad Karim Saberi ◽  
Faezeh Ekhtiyari
Keyword(s):  
Social Media ◽  
Quantitative Research ◽  
Information Science ◽  
Statistical Tests ◽  
Google Scholar ◽  
Content Type ◽  
Highly Cited Papers ◽  
Usage Patterns ◽  
The Impact ◽  
Highly Cited

Purpose The purpose of this paper is to investigate the usage, captures, mentions, social media and citations of highly cited papers of Library and information science (LIS). Design/methodology/approach This study is quantitative research that was conducted using scientometrics and altmetrics indicators. The research sample consists of LIS classic papers. The papers contain highly cited papers of LIS that are introduced by Google Scholar. The research data have been gathered from Google Scholar, Scopus and Plum Analytics Categories. The data analysis has been done by Excel and SPSS applications. Findings The data indicate that among the highly cited articles of LIS, the highest score regarding the usage, captures, mentions and social media and the most abundance of citations belong to “Citation advantage of open access articles” and “Usage patterns of collaborative tagging systems.” Based on the results of Spearman statistical tests, there is a positive significant correlation between Google Scholar Citations and all studied indicators. However, only the correlation between Google Scholar Citations with capture metrics (p-value = 0.047) and citation metrics (p-value = 0.0001) was statistically significant. Originality/value Altmetrics indicators can be used as complement traditional indicators of Scientometrics to study the impact of papers. Therefore, the Altmetrics knowledge of LIS researchers and experts and practicing new studies in this field will be very important.

Correlating research impact of library and information science journals using citation counts and altmetrics attention

2019 ◽  
Vol 47 (3) ◽  
pp. 143-153 ◽  
Author(s):  
Ifeanyi Jonas Ezema ◽  
Cyprian I. Ugwu
Keyword(s):  
Information Science ◽  
Web Of Science ◽  
Research Evaluation ◽  
Research Impact ◽  
Library And Information Science ◽  
Citation Data ◽  
Content Type ◽  
The Social ◽  
Practical Implications ◽  
Selection Of

Purpose Since the development of web 2.0, there has been a paradigm shift in methods of knowledge sharing. This has equally impacted on techniques of research evaluation. Many scholars have argued that the social utilization of research is hardly reflected in the traditional methods of research evaluation. The purpose of this paper is to determine the research impact of Library and Information Science (LIS) journals using Web of Science (WoS), Scopus and Google Scholar (GS) and then examine whether there is a correlation between their citations and altmetric attentions. Design/methodology/approach This paper is an attempt to contribute to this discussion with focus on the field of LIS. This paper adopted descriptive informatics to analyze LIS journals. The paper extracted citation data from WoS, Scopus and GS, and altmetric attentions from 85 LIS journals indexed by WoS. Further, 18 journals with high altmetric attention were identified, while 9 of these maintained consistent presence in the three databases used. Findings Findings show that of these databases, citation data from GS was found to have a high correlation with altmetric attention, while the other two databases maintained moderate correlations with altmetric attention. The paper also found a positive but non-significant correlation between citation scores and altmetric attention in the nine journals that maintained consistent presence in the three databases. Practical implications The findings of this paper will be useful to librarians in selection of relevant journals for their libraries and also will assist authors in the choice of publication outlets for their papers particularly when considering journals that have visibility and research impact. Originality/value The originality of the paper lies on empirical evidences from the citation and altmetric data extracted from the databases used for the paper.

Do authors play fair or manipulate Google Scholar h-index?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fayaz Ahmad Loan ◽  
Nahida Nasreen ◽  
Bisma Bashir
Keyword(s):  
Information Science ◽  
Google Scholar ◽  
Bibliometric Indicators ◽  
Academic Institutions ◽  
Simple Arithmetic ◽  
H Index ◽  
Content Type ◽  
Publication Count ◽  
Microsoft Office ◽  
Practical Implications

PurposeThe study's main purpose is to scrutinize Google Scholar profiles and find the answer to the question, “Do authors play fair or manipulate Google Scholar Bibliometric Indicators like h-index and i10-index?”Design/methodology/approachThe authors scrutinized the Google Scholar profiles of the top 50 library and science researchers claiming authorship of 21,022 publications. The bibliographic information of all the 21,022 publications like authorship and subject details were verified to identify accuracy, discrepancies and manipulation in their authorship claims. The actual and fabricated entries of all the authors along with their citations were recorded in the Microsoft Office Excel 2007 for further analyses and interpretation using simple arithmetic calculations.FindingsThe results show that the h-index of authors obtained from the Google Scholar should not be approved at its face value as the variations exist in the publication count and citations, which ultimately affect their h-index and i10 index. The results reveal that the majority of the authors have variations in publication count (58%), citations (58%), h-index (42%) and i10-index (54%). The magnitude of variation in the number of publications, citations, h-index and i10-index is very high, especially for the top-ranked authors.Research limitations/implicationsThe scope of the study is strictly restricted to the faculty members of library and information science and cannot be generalized across disciplines. Further, the scope of the study is limited to Google Scholar and caution needs to be taken to extend results to other databases like Web of Science and Scopus.Practical implicationsThe study has practical implications for authors, publishers, and academic institutions. Authors must stop the unethical research practices; publishers must adopt techniques to overcome the problem and academic institutions need to take precautions before hiring, recruiting, promoting and allocating resources to the candidates on the face value of the Google Scholar h-index. Besides, Google needs to work on the weak areas of Google Scholar to improve its efficacy.Originality/valueThe study brings to light the new ways of manipulating bibliometric indicators like h-index, and i10-index provided by Google Scholar using false authorship claims.

Money laundering through raw diamonds

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fabian Maximilian Johannes Teichmann ◽  
Marie-Christin Falker
Keyword(s):  
Law Enforcement ◽  
Money Laundering ◽  
Qualitative Content Analysis ◽  
Law Enforcement Agencies ◽  
Content Type ◽  
Compliance Officers ◽  
German Speaking ◽  
Three Stages ◽  
Practical Implications ◽  
Combat Money Laundering

Purpose This paper aims to illustrate how illegally obtained funds are laundered through raw diamonds in Austria, Germany, Liechtenstein and Switzerland. Design/methodology/approach To identify specific money laundering techniques involving raw diamonds, this study used a qualitative content analysis of data collected from 60 semi-standardized interviews with both criminals and prevention experts and a quantitative survey of 200 compliance officers. Findings Raw diamonds are extraordinarily suitable for money laundering in European German-speaking countries. In particular, they may be used in all three stages of the laundering process, namely, placement, layering and integration. Research limitations/implications Because the qualitative findings are based on semi-standardized interviews, their insights are limited to the perspectives of the 60 interviewees. Practical implications Identifying gaps in existing anti-money laundering mechanisms should provide compliance officers, law enforcement agencies and legislators with valuable insights into how criminals operate. Originality/value While prior studies focus on the methods used by organizations to combat money laundering and how to improve anti-money laundering measures, this paper investigates how money launderers operate to avoid detection, thereby illustrating authentic experiences. Its findings provide valuable insights into the minds of money launderers and combines criminal perspective with that of prevention experts.

Is the equalization/normalization lens dead? Social media campaigning in US congressional elections

2018 ◽  
Vol 42 (5) ◽  
pp. 718-731 ◽  
Author(s):  
Jason Gainous ◽  
Andrew Segal ◽  
Kevin Wagner
Keyword(s):  
Social Media ◽  
Design Methodology ◽  
Power Structure ◽  
Congressional Elections ◽  
Campaign Spending ◽  
Interactive Effects ◽  
Content Type ◽  
Electoral Success ◽  
The Masses ◽  
Practical Implications

Purpose Early information technology scholarship centered on the internet’s potential to be a democratizing force was often framed using an equalization/normalization lens arguing that either the internet was going to be an equalizing force bringing power to the masses, or it was going to be normalized into the existing power structure. The purpose of this paper is to argue that considered over time the equalization/normalization lens still sheds light on our understanding of how social media (SM) strategy can shape electoral success asking if SM are an equalizing force balancing the resource gap between candidates or are being normalized into the modern campaign. Design/methodology/approach SM metrics and electoral data were collected for US congressional candidates in 2012 and 2016. A series of additive and interactive models are employed to test whether the effects of SM reach on electoral success are conditional on levels of campaign spending. Findings The results suggest that those candidates who spend more actually get more utility for their SM campaign than those who spend less in 2012. However, by 2016, spending inversely correlates with SM campaign utility. Research limitations/implications The findings indicate that SM appeared to be normalizing into the modern congressional campaign in 2012. However, with higher rates of penetration and greater levels of usage in 2016, the SM campaign utility was not a result of higher spending. SM may be a greater equalizing force now. Practical implications Campaigns that initially integrate digital and traditional strategies increase the effectiveness of the SM campaign because the non-digital strategy both complements and draws attention to the SM campaign. However, by 2016 the SM campaign was not driven by its relation to traditional campaign spending. Originality/value This is the first large N study to examine the interactive effects of SM reach and campaign spending on electoral success.

scholarly journals What people study when they study Tumblr

2017 ◽  
Vol 73 (3) ◽  
pp. 528-554 ◽  
Author(s):  
Rose Attu ◽  
Melissa Terras
Keyword(s):  
Social Media ◽  
Research Papers ◽  
Content Type ◽  
Long Form ◽  
Media Research ◽  
Access To Data ◽  
Social Networking Website ◽  
Conference Papers ◽  
Published Research ◽  
Practical Implications

Purpose Since its launch in 2007, research has been carried out on the popular social networking website Tumblr. The purpose of this paper is to identify published Tumblr-based research, classify it to understand approaches and methods, and provide methodological recommendations for others. Design/methodology/approach Research regarding Tumblr was identified. Following a review of the literature, a classification scheme was adapted and applied, to understand research focus. Papers were quantitatively classified using open coded content analysis of method, subject, approach, and topic. Findings The majority of published work relating to Tumblr concentrates on conceptual issues, followed by aspects of the messages sent. This has evolved over time. Perceived benefits are the platform’s long-form text posts, ability to track tags, and the multimodal nature of the platform. Severe research limitations are caused by the lack of demographic, geo-spatial, and temporal metadata attached to individual posts, the limited Advanced Programming Interface, restricted access to data, and the large amounts of ephemeral posts on the site. Research limitations/implications This study focusses on Tumblr: the applicability of the approach to other media is not considered. The authors focus on published research and conference papers: there will be book content which was not found using the method. Tumblr as a platform has falling user numbers which may be of concern to researchers. Practical implications The authors identify practical barriers to research on the Tumblr platform including lack of metadata and access to big data, explaining why Tumblr is not as popular as Twitter in academic studies. Social implications This paper highlights the breadth of topics covered by social media researchers, which allows us to understand popular online platforms. Originality/value There has not yet been an overarching study to look at the methods and purpose of those who study Tumblr. The authors identify Tumblr-related research papers from the first appearing in 2011 July until 2015 July. The classification derived here provides a framework that can be used to analyse social media research, and in which to position Tumblr-related work, with recommendations on benefits and limitations of the platform for researchers.

Stairways to heaven: implementing social media in organizations

2013 ◽  
Vol 17 (5) ◽  
pp. 741-754 ◽  
Author(s):  
Moria Levy
Keyword(s):  
Social Media ◽  
Knowledge Management ◽  
Empirical Study ◽  
Design Methodology ◽  
Applied Research ◽  
Service Marketing ◽  
Content Type ◽  
Four Levels ◽  
Functional Components ◽  
Practical Implications

Purpose – This paper is aimed at both researchers and organizations. For researchers, it seeks to provide a means for better analyzing the phenomenon of social media implementation in organizations as a knowledge management (KM) enabler. For organizations, it seeks to suggest a step-by-step architecture for practically implementing social media and benefiting from it in terms of KM. Design/methodology/approach – The research is an empirical study. A hypothesis was set; empirical evidence was collected (from 34 organizations). The data were analyzed both quantitatively and qualitatively, thereby forming the basis for the proposed architecture. Findings – Implementing social media in organizations is more than a yes/no question; findings show various levels of implementation in organizations: some implementing at all levels, while others implement only tools, functional components, or even only visibility. Research limitations/implications – Two main themes should be further tested: whether the suggested architecture actually yields faster/eased KM implementation compared to other techniques; and whether it can serve needs beyond the original scope (KM, Israel) as tested in this study (i.e. also for other regions and other needs – service, marketing and sales, etc.). Practical implications – Organizations can use the suggested four levels architecture as a guideline for implementing social media as part of their KM efforts. Originality/value – This paper is original and innovative. Previous studies describe the implementation of social media in terms of yes/no; this research explores the issue as a graded one, where organizations can and do implement social media step-by-step. The paper's value is twofold: it can serve as a foundational study for future researches, which can base their analysis on the suggested architecture of four levels of implementation. It also serves as applied research that will help organizations searching for social media implementation KM enablers.

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