Citation Content Analysis Research Articles

Citation Content Analysis of Master Degree Theses in Library and Information Technology for Improved Research

Citation Content Analysis of Master Degree Theses in Library and Information Technology for Improved Research

Transdisciplinary fine-grained citation content analysis: A multi-task learning perspective for citation aspect and sentiment classification

The diffusion of citation knowledge is an important measure of transdisciplinary scientific impact and the diversity of transdisciplinary citation content (sentences). Moreover, combining citation sentiment (CS) and citation aspect (CA) can help researchers identify the attitudes, ideas, or positions reflected in the evolution of scientific elements (e.g., theories, techniques, and methods). This is because of their use by scholars from different disciplines, paving the way toward transdisciplinary penetration and the development of domain knowledge through the proliferation of cited knowledge. However, most studies mainly address citation aspect classification (CAC) and citation sentiment classification (CSC) separately, ignoring their shared features of interactions. In this study, we construct a dataset for transdisciplinary citation content analysis using citations and academic full texts from the Chinese Social Sciences Citation Index (CSSCI), which includes 14,832 manually-annotated citations. Thereafter, we utilized the developed dataset to conduct a transdisciplinary fine-grained citation content analysis by combining CAC and CSC. The objective of the CAC task was to classify transdisciplinary citations into theoretical concepts (TC), methodological techniques (MT), and data information (DI), whereas the CSC task classified citations into positive, negative, and neutral classes. Furthermore, we leveraged a multi-task learning (MTL) model to perform CAC and CSC jointly and then compared its performance to those of several widely-used deep learning models. Our model achieved 83.10 % accuracy for CAC and 80.46 % accuracy for CSC, demonstrating its superiority to single-task systems. This indicates the strong correlation between the CAC and CSC of transdisciplinary citation tasks, benefiting from each other when learned concurrently. This new method can be used as an auxiliary decision support system to extend the analysis of transdisciplinary citation content.

Opening research data contributes to the citations of related research articles: Evidence from Data in Brief

AbstractThis paper explores the effect of publishing a data paper in the Open Access journal Data in Brief (DIB) on the citation counts of the related research paper. Using regression analysis, citation content analysis and a survey method, we investigate whether research papers with a related data paper have higher citation counts and the potential reasons. After controlling variables that correlate with the citation counts, research papers with a related data paper were found to have higher citation counts than those published in the same issue of the same journal. Next, we explored the causal relationship between the two variables by surveying the corresponding authors of 618 papers who shared datasets in DIB from 2014 to 2021. The results show that the authors acknowledge the benefits of sharing data in DIB, including citation increase and career reputation enhancement. We further explored how the data papers in DIB increase the citations of the related research papers by using citation content analysis. We found that scientists co‐cite the data papers and their related research papers for the purpose of reusing the underlying data or portraying a better understanding of the underlying data and related research articles.

Uncovering the use and impact of mechanical weed control articles: A citation content analysis

AbstractThis study investigated the extent to which seven papers on mechanical weed control have been cited, understood and utilised in subsequent publications. Web of Science was used to identify the citing publications, and citation content analysis was conducted to investigate the cognitive links between the citing and cited publications. Cognition involves acquiring, understanding, and using knowledge. Citation of the seven publications in 305 publications was classified, and it was found that perfunctory citations (those that were routinely referenced, with little effort to understand or use content) accounted for 53% of all citations and 16% of the citing articles included citations that were not supported by the references. The most striking finding was that key content was rarely used in articles, despite being referenced in 42% of the published articles. It is recommended that more time be allocated by authors to understanding literature, as this would appear to be a matter of diminishing concern for the scientific community. For those who assume their research area has a better citation practice than found in this study, it is recommended that authors conduct a citation content analysis within their own research area to increase the focus on good literature practices.

Revisiting the Do-Live-Well Health Promotion Framework: A Citation Content Analysis.

Background. The Do-Live-Well (DLW) framework was first published in 2015 and aimed to fill a theoretical gap in the health promotion literature related to the links between occupational patterns and health. However, the extent of uptake and use of the framework since publication is unknown. Purpose. To explore and reflect on the adoption and application of DLW in the literature. Method. Citation content analysis of two seminal DLW publications was conducted from 2015 to November 2022 across six databases. Findings. Seventeen citations directly applied DLW to inform research (n = 10), practice (n = 5) and knowledge translation (n = 2). Implications. The findings highlight uptake of the framework in a range of settings, and how it can inform an occupation-based understanding of health and well-being. Ongoing knowledge dissemination, development of practice tools, and research to update evidence and examine relevance are needed to further advance the utility and application of the framework.

Systematic review and citation content analysis of the CHIME framework for mental health recovery processes: recommendations for developing influential conceptual frameworks

To identify design features of the CHIME conceptual framework of mental health recovery which are associated with high rates of citation. Systematic review of all citations of the Connectedness, Hope, Identity, Meaning, and Empowerment (CHIME) framework of mental health recovery. Papers citing CHIME were screened and extracted from three citation databases. Citation content analysis was used to investigate associations between nine CHIME design features. Citations were investigated across six forms of visibility: all citations; Anglophone vs non-Anglophone; academic vs non-academic; academic discipline; professional group; and clinical population. There were 915 eligible documents identified. Six CHIME framework design features met predefined thresholds for high levels of influence: (i) using a systematic review methodology for development, (ii) adopting a memorable acronym, (iii) having disaggregable components, and being unaligned to a (iv) particular discipline (i.e., transdisciplinary), (v) professional group, or (vi) diagnostic population. Documents from Anglophone countries were more likely to cite CHIME with reference to trans-professional (χ2=3.96, df=1, p=0.05) and ethnicity sub-group analysis (p=0.039) design features than non-Anglophone documents. Non-academic documents were more likely to cite the acronym design feature than academic papers (χ2=5.73, df=1, p=0.01). Public Health-related publications were more likely to cite CHIME within a trans-diagnostic framework (χ2=16.39, df=1, p<0.001) than other disciplines. The influence and impact of conceptual frameworks for recovery are increased when the framework is underpinned by a systematic review, includes disaggregable components which can be summarized using a memorable acronym, and when the framework is transdisciplinary, trans-professional, and trans-diagnostic.

Unvoicing a field's expertise: A two-pronged citation and language analysis

The field of Developmental Education (DE) draws from a distinct and multidisciplinary body of research and scholarship to facilitate students' transitions to college and to support their postsecondary academic success. However, highly cited scholars and policymakers external to the field perpetuate negative perceptions of DE, arguing for reform or elimination without inclusion of field experts. Through a combination of Citation Content Analysis and Transitivity Analysis, this study examined citation trends and verb transitivity to uncover the voices privileged as experts within an influential publication by the Community College Research Center and aimed to uncover how the authors (re)presented the DE field, literature, scholarship, its members, and its students. Findings revealed a single citation of an in-field DE scholar and repeated erasure of developmental educators and DE scholarship through passivation of DE professionals as social actors. Implications are discussed for the importance of including inside-field experts’ voices in discussions about their field as a necessary component of developing a critical praxis of integrating scholarship and practice in support of students.

Castells’s “Network Society Theory” to Human Geography —Analysis and Comparison Based on Chinese and Foreign Quotations

Based on 898 English documents and 363 Chinese documents citing the Rising of Network Society, it studied that the knowledge contribution of citation content analysis and citation context analysis methods, and the knowledge contribution of Chinese and foreign quotations to human geography. The study found that “mobile space” is the most quoted theoretical view in domestic and foreign literature, and the proportion of domestic research is significantly higher than foreign research; the focus of domestic and foreign research focuses on the external spatial form and its transformation, while foreign research pays more attention on the internal spatial dynamics of network society and three types of knowledge contributions, reflecting the influence of “network social theory” on human geography. Among them, critical references reveal the shortcomings of “network social theory” point out the abstraction of “spatial duality” the importance of local space, and the limitations of research data, methods, and time background, which provides new enlightenment for the future application and innovation of “network social theory” in the field of human geography.

Characterizing references from different disciplines: A perspective of citation content analysis

Multidisciplinary cooperation is now common in research since social issues inevitably involve multiple disciplines. In research articles, reference information, especially citation content, is an important representation of communication among different disciplines. Analyzing the distribution characteristics of references from different disciplines in research articles is basic to detecting the sources of referred information and identifying contributions of different disciplines. This work takes articles in PLoS as the data and characterizes the references from different disciplines based on Citation Content Analysis (CCA). First, we download 210,334 full-text articles from PLoS and collect the information of the in-text citations. Then, we identify the discipline of each reference in these academic articles. To characterize the distribution of these references, we analyze three characteristics, namely, the number of citations, the average cited intensity and the average citation length. Finally, we conclude that the distributions of references from different disciplines are significantly different. Although most references come from Natural Science, Humanities and Social Sciences play important roles in the Introduction and Background sections of the articles. Basic disciplines, such as Mathematics, mainly provide research methods in the articles in PLoS. Citations mentioned in the Results and Discussion sections of articles are mainly in-discipline citations, such as citations from Nursing and Medicine in PLoS.

The citation impact of social sciences and humanities upon patentable technology

This paper examines the citation impact of papers published in scientific-scholarly journals upon patentable technology, as reflected in examiner- or inventor-given references in granted patents. It analyses data created by SCImago Research Group, linking PATSTAT’s scientific non-patent references (SNPRs) to source documents indexed in Scopus. The frequency of patent citations to journal papers is calculated per discipline, year, institutional sector, journal subject category, and for “top” journals. PATSTAT/Scopus-based statistics are compared to those derived from Web of Science/USPTO linkage. A detailed assessment is presented of the technological impact of research publications in social sciences and humanities (SSH). Several subject fields perform well in terms of the number of citations from patents, especially Library and Information Science, Language and Linguistics, Education, and Law, but many of the most cited journals find themselves in the interface between SSH and biomedical or natural sciences. Analyses of the titles of citing patents and cited papers are presented that shed light upon the cognitive content of patent citations. It is proposed to develop more advanced indicators of citation impact of papers upon patents, and ways to combine citation counts with citation content and context analysis.

Examining similarities and differences of citation patterns between monographs and papers: a case in biology and computer science

PurposeCitation content in academic papers and academic monographs promotes the knowledge flow among different publications. However, existing citation content analysis (CCA) focuses on academic papers and monographs have not received much research attention. We want to know if monographs are appropriate objects of CCA and whether existing methods of analyzing citation in papers are suitable for citation in monographs. Therefore, this paper aims to learn more about features of cited references and citation content in monographs and compare the characteristic of citation pattern between monographs and papers.Design/methodology/approachThe authors manually annotate the references and syntactic citation content in academic monographs published by Morgan & Claypool and automatically extracted the references and citation content from academic papers published by Public Library of Science. Five features in two types citation pattern, namely, pattern of cited reference (including year, source and mention frequency of reference) and pattern of citation content (including location, length of citation content) are used to examine similarities and differences between monographs and papers.FindingsThe results indicate that between monographs and papers, differences are shown in location, length of citation content and year, source of reference, whereas frequency of mention of reference is similar.Originality/valuePrevious studies have explored the patter of citation content in academic papers. However, none of the existing literature, as far as the authors know, has considered the citation content in academic monographs and the similarities or differences among academic documents when studying the citation pattern.

Research Series Review for Transdisciplinarity Assessment—Validation with Sustainable Consumption and Production Research

In light of the escalating challenges for the sustainability of our societies, the need for improving the research of sustainable consumption and production (SCP) aiming to make real changes on the societies towards sustainability is evident. Transdisciplinary (TD) research is a promising way to enhance SCP research; however, insights to operationalize the concept of TD research are needed for both funders and researchers. Therefore, this article proposes an innovative way to capture and analyse a research series for transdisciplinarity assessment in qualitative and quantitative terms. This new way is termed research series review (RSR). This article adopted literature analysis and partly reflexive retrospective reasoning. In particular, citation content analysis was carried out in relation to two research series selected as the cases. The results show that RSR has advantages such as clearer traceability with cause-and-effect relationships. Furthermore, a successful SCP research series is hypothesised to form an iterative process between practical and theoretical fields as well as finding opportunities and proposing solutions.

How Does Castells's The Rise of the Network Society Contribute to Research in Human Geography? A Citation Content and Context Analysis

Manuel Castells seminal work The Rise of the Network Society (RNS) is one of the top ten most frequently cited publications in human geography. RNS comprehensively investigates the theory of network society, which is of great significance to human geography. Citation count, however, cannot reflect the specific contribution of RNS to human geography. By jointly using citation content and context analysis on 898 journal articles on human geography, this study examines the citations of RNS to clarify the contribution. Results show that (1) “space of flows” is most frequently cited and (2) citations of RNS serve nine citation functions in human geography studies. Eight of them reveal three types of knowledge development contribution, namely, knowledge dissemination, knowledge inheritance, and knowledge innovation. Among the nine citation functions, the critique function is most thought-provoking, revealing the deficiencies of RNS: (1) spatial dualism is abstract and impersonal, (2) “space of places” is as important as “space of flows” in the network society, and (3) the lack of abundant data limits the development of empirical research on the space of flows and network of city. These critical citations provide implications for the development of network society theory in human geography. Key Words: bibliometric analysis, citation context analysis, content analysis, knowledge development, network society.

Identification of citation and cited texts for fine‐grained citation content analysis

ABSTRACTCitation content Analysis is very useful to reveal the nature of citations among scientific papers. However, most of previous studies had been done only from the side of citing papers and ignored the side of cited papers. We proposed a similarity‐based unsupervised citation text identification method and a ranking‐based supervised cited text identification method. Based on the identified citation and cited texts, we performed a fine‐grained citation analysis and found there was a difference in the cited texts between the citing papers in different disciplines.

How video articles are cited, the case of JoVE: Journal of Visualized Experiments

Journal of Visualized Experiments (JoVE) is a peer-reviewed journal that publishes video articles. In order to find out about the impact of video articles and how they are used in other journal articles, a random sample of 500 articles that cited at least one JoVE article was drawn and citation content analysis was conducted to find out about reasons for citation, frequency of citation mentions, location of citation and any relation between in-text citation characteristics and times cited. The results showed that JoVE articles are mostly cited for methodological reasons (72.4%) and in method sections of articles (53.2%). The context of 44.1% of citation mentions included phrases such as ‘as previously described’. More than a third (38.8%) of citations to JoVE articles were self-citations. JoVE articles that were self-cited were more likely to have a larger number of citation mentions, be cited for different reasons and in different sections of citing articles. They were also more likely to have more authors. The majority of the articles (75.6%) were mentioned only once in the citing articles. The median impact factor (MIF) of the journals of citing articles was higher than MIF of any Web of Science subject category, indicating that the citing articles were mostly from journals with relatively high impact factors. Overall, JoVE articles play an important role in transparency and transfer of methodologies and processes in research.

What type of domain knowledge is cited by articles with high interdisciplinary degree?

ABSTRACTInterdisciplinary studies require integration of principles, theories and practices from multiple disciplines. What type of domain knowledge will be applied more in such researches? Since scientific paradigms differ in fields, this paper takes computer science (CS) as a case and investigates utilization patterns of CS knowledge in articles from PLOS One with high interdisciplinary degree (IDD) by citation content analysis. Since scholars usually organize and indicate used knowledge in methodology, we study articles which cite CS articles in this section. After extracting citation content from citing articles, we identify the cited knowledge and analyse the type of cited knowledge. Experimental results show that: In the PLOS One articles which cited the CS knowledge, algorithm is the most used knowledge type and the most used object is random forests. Our study can be applied to understand how articles with high IDD use the knowledge from other disciplines in the future.

Defending psychiatry or defending the trivial effects of therapeutic interventions? A citation content analysis of an influential paper.

Leucht et al. in 2012 described an overview of meta-analyses of the efficacy of medication in psychiatry and general medicine, concluding that psychiatric drugs were not less efficacious than other drugs. Our goal was to explore the dissemination of this highly cited paper, which combined a thought provoking message with a series of caveats. We conducted a prospectively registered citation content analysis. All papers published before June 1st citing the target paper were independently rated by two investigators. The primary outcome coded dichotomously was whether the citation was used to justify a small or modest effect observed for a given treatment. Secondary outcomes regarded mentioning any caveats when citing the target paper, the point the citation was making (treatment effectiveness in psychiatry closely resembles that in general medicine, others), the type of condition (psychiatric, medical or both), specific disease, treatment category and specific type. We also extracted information about the type of citing paper, financial conflict of interest (COI) declared and any industry support. The primary analysis was descriptive by tabulating the extracted variables, with numbers and percentages where appropriate. Co-authorship networks were constructed to identify possible clusters of citing authors. An exploratory univariate logistic regression was used to explore the relationship between each of a subset of pre-specified secondary outcomes and the primary outcome. We identified 135 records and retrieved and analysed 120. Sixty-three (53%) quoted Leucht et al.'s paper to justify a small or modest effect observed for a given therapy, and 113 (94%) did not mention any caveats. Seventy-two (60%) used the citation to claim that treatment effectiveness in psychiatry closely resembles that in general medicine; 110 (91%) paper were about psychiatric conditions. Forty-one (34%) papers quoted it without pointing towards any specific treatment category, 28 (23%) were about antidepressants, 18 (15%) about antipsychotics. Forty (33%) of the citing papers included data. COIs were reported in 55 papers (46%). Univariate and multivariate regressions showed an association between a quote justifying small or modest effects and the point that treatment effectiveness in psychiatry closely resembles that in general medicine. Our evaluation revealed an overwhelmingly uncritical reception and seemed to indicate that beyond defending psychiatry as a discipline, the paper by Leucht et al. served to lend support and credibility to a therapeutic myth: trivial effects of mental health interventions, most often drugs, are to be expected and therefore accepted.Protocol registration: https://osf.io/9dqat/.

The Sherifs’ contributions to management research

PurposeMuzafer and Carolyn Wood Sherif are among the founders of social psychology. Their theoretical and empirical findings made important contributions to the management literature. This paper aims to attempt to underline these contributions and highlights the Sherifs’ interdisciplinary work and their impact on management research specifically.Design/methodology/approachUsing a citation content analysis, the influence of the Sherifs on management research is detailed by examining how their work has contributed to research published in top management journals.FindingsThe Sherifs’ work has influenced numerous research streams related to organisational groups, social norms, assimilation contrast theory and a combination of various other topics. Additionally, these works helped originate team and workgroup research in organisation theory.Originality/valueThis is the first manuscript of its type to examine the influence of the Sherifs on management research. Their story is a testament to the impact that social psychology researchers have had in developing modern thought about organisational issues. This work also addresses potential areas for future research building on the Sherifs’ work.

Extraction and visualisation of citation relationships and its attributes for papers in PDF

This paper presents a method to process a content of research papers in binary PDF format at a server side that gives research information systems new features of citation content analysis. This method efficiently generates JSON versions of PDF documents that allows an easier recognition of papers' references, in-text citations, citation context, etc. As a result, one can parse an extended set of citation data, including a location of citations in a research paper's structure, frequency of mentioning for the same references, style of reference mentioning and so on. Based on these data we upgrade traditional citation relationships by adding some semantics and other attributes. Formatting these data according W3C Web Annotation Data Model and integrating the data with some annotation tools, we visualise the citation relationships, its semantic attributes, related statistics and some other data as annotations to content of PDF documents available for users of a research information system.

Characterizing the Networks of Digital Information that Support Collaborative Adaptive Forest Management in Sierra Nevada Forests.

Some of the factors that can contribute to the success of collaborative adaptive management--such as social learning, open communication, and trust--are built upon a foundation of the open exchange of information about science and management between participants and the public. Despite the importance of information transparency, the use and flow of information in collaborative adaptive management has not been characterized in detail in the literature, and currently there exist opportunities to develop strategies for increasing the exchange of information, as well as to track information flow in such contexts. As digital information channels and networks have been increased over the last decade, powerful new information monitoring tools have also been evolved allowing for the complete characterization of information products through their production, transport, use, and monitoring. This study uses these tools to investigate the use of various science and management information products in a case study--the Sierra Nevada Adaptive Management Project--using a mixed method (citation analysis, web analytics, and content analysis) research approach borrowed from the information processing and management field. The results from our case study show that information technologies greatly facilitate the flow and use of digital information, leading to multiparty collaborations such as knowledge transfer and public participation in science research. We conclude with recommendations for expanding information exchange in collaborative adaptive management by taking advantage of available information technologies and networks.