Joint Modeling of Citation Networks and User Preferences for Academic Tagging Recommender System

In the tag recommendation task on academic platforms,existing methods disregard users’customized preferences in favor of extracting tags based just on the content of the articles.Besides,it uses co-occurrence techniques and tries to combine nodes’textual content for modelling.They still do not,however,directly simulate many interactions in network learning.In order to address these issues,we present a novel system that more thoroughly integrates user preferences and citation networks into article labelling recommendations.Specifically,we first employ path similarity to quantify the degree of similarity between user labelling preferences and articles in the citation network.Then,the Commuting Matrix for massive node pair paths is used to improve computational performance.Finally,the two commonalities mentioned above are combined with the interaction paper labels based on the additivity of Poisson distribution.In addition,we also consider solving the model’s parameters by applying variational inference.Experimental results demonstrate that our suggested framework agrees and significantly outperforms the state-of-the-art baseline on two real datasets by efficiently merging the three relational data.Based on the Area Under Curve(AUC)and Mean Average Precision(MAP)analysis,the performance of the suggested task is evaluated,and it is demonstrated to have a greater solving efficiency than current techniques.

Research funding and citations in papers of Nobel Laureates in Physics, Chemistry and Medicine, 2019-2020

Purpose:The goal of this study is a comparative analysis of the relation between funding(a main driver for scientific research)and citations in papers of Nobel Laureates in physics,chemistry and medicine over 2019-2020 and the same relation in these research fields as a whole.Design/methodology/approach:This study utilizes a power law model to explore the relationship between research funding and citations of related papers.The study here analyzes 3,539 recorded documents by Nobel Laureates in physics,chemistry and medicine and a broader dataset of 183,016 documents related to the fields of physics,medicine,and chemistry recorded in the Web of Science database.Findings:Results reveal that in chemistry and medicine,funded researches published in papers of Nobel Laureates have higher citations than unfunded studies published in articles;vice versa high citations of Nobel Laureates in physics are for unfunded studies published in papers.Instead,when overall data of publications and citations in physics,chemistry and medicine are analyzed,all papers based on funded researches show higher citations than unfunded ones.Originality/value:Results clarify the driving role of research funding for science diffusion that are systematized in general properties:a)articles concerning funded researches receive more citations than(un)funded studies published in papers of physics,chemistry and medicine sciences,generating a high Matthew effect(a higher growth of citations with the increase in the number of papers);b)research funding increases the citations of articles in fields oriented to applied research(e.g.,chemistry and medicine)more than fields oriented towards basic research(e.g.,physics).Practical implications:The results here explain some characteristics of scientific development and diffusion,highlighting the critical role of research funding in fostering citations and the expansion of scientific knowledge.This finding can support decision-making of policymakers and R&D managers to improve the effectiveness in allocating financial resources in science policies to generate a higher positive scientific and societal impact.

Exploring the Relationship Between Patent Forward Citation and Stock Return Rate Using Empirical Data of China Stock Market

A novel indicator called price-citation was proposed.Based on the company integrated patent database of China listed companies of common stocks(A-shares)with the stock price and the stock return rate data,more than two thousand of A-shares from 2017 to 2020 were selected.The effect of the traditional patent forward citation and the price-citation for discriminating the stock return rate was thoroughly analyzed via ANOVA.The A-shares of forward citation counts above the average showed higher stock return rate means than the A-shares having patents but receiving no forward citations.The price-citation,combining both the financial and patent attributes,defined as the multiplication of the current stock price and the currently receiving forward citation count,showed its excellence in discriminating the stock return rate.The A-shares of higher price-citation showed significantly higher stock return rate means while the A-shares of lower price-citation showed significantly lowest stock return rate means.The price-citation effect had not been changed by COVID-19 though COVID-19 affected the social and economic environment to a considerable extent in 2020.

WIMS/CITATION在IHNI-1堆芯物理计算中的应用

建立了利用WIMS+CITATION计算医院中子照射器Ⅰ型堆堆芯中子学参数的模型,计算了堆芯的功率分布、顶铍反应性价值、控制棒价值、温度系数、堆芯燃耗等中子学参数,计算结果与文献数据一致,表明文章所建立的计算模型可用于医院中子照射器I型堆堆芯的物理计算。

基于局部加权的Citation-kNN算法

Citation-kNN算法对传统的kNN算法进行了改进,使其可以应用于多示例学习问题,但其0-1决策方式具有一定的局限性,没有充分考虑样本的分布情况。为解决该问题,该文提出局部加权的Citation-kNN算法,综合考虑样本的分布情况,提出基于样本距离加权、基于样本离散度加权的方法,并对各种组合情况进行了实验。在标准数据集MUSK和乳腺超声图像数据库上的实验结果表明,该文提出的方法与Citation-kNN相比,性能有明显提高,并具有良好的适应性。

基于改进Citation-KNN算法的性别识别研究

为了简化系统模型训练方法,提高性别识别系统的整体效率,提出了一种基于改进Citation-KNN算法的说话人性别识别方法。该方法将连续语音切分,训练每段语音的高斯混合模型(Gaussian Mixture Model,GMM)作为多示例包,其所有混合元为相应包中示例;采用改进的Hausdorff距离作为包与包之间的距离测度,通过Citation-KNN算法进行性别识别。该方法以多示例包间距离为分类依据,简化了系统训练,且识别率优于一些传统算法。

Science Citation Index Expanded (SCI-E)及其检索技巧

简要介绍了SCI-E网络数据库及特点,并结合实例说明SCI-E数据库的检索技巧及分析功能的应用。

Writer Stance in Citations: An Ethnolinguistic and Paradigmatic Perspective

This study examines how writer stance is projected in citation from a comparative perspective.The dataset consisted of 120 qualitative and quantitative research articles(RAs)that were authored by Anglophone and Chinese applied linguists.ANO?VA tests revealed marked cross-language and cross-paradigmatic differences in stance-based dialogic engagement.

Functions of Uni- and Multi-citations： Implications for Weighted Citation Analysis

Purpose： （1） To test basic assumptions underlying frequency-weighted citation analysis： （a） Uni-citations correspond to citations that are nonessential to the citing papers; （b） The influence of a cited paper on the citing paper increases with the frequency with which it is cited in the citing paper. （2） To explore the degree to which citation location may be used to help identify nonessential citations. Design/methodology/approach： Each of the in-text citations in all research articles published in Issue 1 of the Journal of the Association for Information Science and Technology （JASIST） 2016 was manually classified into one of these five categories： Applied, Contrastive, Supportive, Reviewed, and Perfunctory. The distributions of citations at different in-text frequencies and in different locations in the text by these functions were analyzed. Findings： Filtering out nonessential citations before assigning weight is important for frequency-weighted citation analysis. For this purpose, removing citations by location is more effective than re-citation analysis that simply removes uni-citations. Removing all citation occurrences in the Background and Literature Review sections and uni-citations in the Introduction section appears to provide a good balance between filtration and error rates. Research limitations： This case study suffers from the limitation of scalability and generalizability. We took careful measures to reduce the impact of other limitations of the data collection approach used. Relying on the researcher＇s judgment to attribute citation functions, this approach is unobtrusive but speculative, and can suffer from a low degree of confidence, thus creating reliability concerns. Practical implications： Weighted citation analysis promises to improve citation analysis for research evaluation, knowledge network analysis, knowledge representation, and information retrieval. The present study showed the importance of filtering out nonessential citations before assigning weight in a weighted citation analysis, which may be a significant step forward to realizing these promises. Originality/value： Weighted citation analysis has long been proposed as a theoretical solution to the problem of citation analysis that treats all citations equally, and has attracted increasing research interest in recent years. The present study showed, for the first time, the importance of filtering out nonessential citations in weighted citation analysis, pointing research in this area in a new direction.

Patent Citations Analysis and Its Value in Research Evaluation： A Review and a New Approach to Map Technology-relevant Research

Purpose： First, to review the state-of-the-art in patent citation analysis, particularly characteristics of patent citations to scientific literature （scientific non-patent references, SNPRs）. Second, to present a novel mapping approach to identify technology-relevant research based on the papers cited by and referring to the SNPRs. Design/methodology/approach： In the review part we discuss the context of SNPRs such as the time lags between scientific achievements and inventions. Also patent-to-patent citation is addressed particularly because this type of patent citation analysis is a major element in the assessment of the economic value of patents. We also review the research on the role of universities and researchers in technological development, with important issues such as universities as sources of technological knowledge and inventor-author relations. We conclude the review part of this paper with an overview of recent research on mapping and network analysis of the science and technology interface and of technological progress in interaction with science. In the second part we apply new techniques for the direct visualization of the cited and citing relations of SNPRs, the mapping of the landscape around SNPRs by bibliographic coupling and co-citation analysis, and the mapping of the conceptual environment of SNPRs by keyword co-occurrence analysis. Findings： We discuss several properties of SNPRs. Only a small minority of publications covered by the Web of Science or Scopus are cited by patents, about 3%-4%. However, for publications based on university-industry collaboration the number of SNPRs is considerably higher, around 15%. The proposed mapping methodology based on a ＂second order SNPR approach＂ enables a better assessment of the technological relevance of research. Research limitations： The main limitation is that a more advanced merging of patent and publication data, in particular unification of author and inventor names, in still a necessity. Practical implications： The proposed mapping methodology enables the creation of a database of technology-relevant papers （TRPs）. In a bibliometric assessment the publications of research groups, research programs or institutes can be matched with the TRPs and thus the extent to which the work of groups, programs or institutes are relevant for technological development can be measured. Originality/value： The review part examines a wide range of findings in the research of patent citation analysis. The mapping approach to identify a broad range of technologyrelevant papers is novel and offers new opportunities in research evaluation practices.

A Comparison of Citation Disciplinary Structure in Science between the G7 Countries and the BRICS Countries

Purpose： This study aims to compare the characteristics of citation disciplinary structure between the G7 countries and the BRICS countries.Design/Methodology/Approach： In this contribution, which uses about 1 million Web of Science publications and two publications years（1993 and 2013）, we compare the G7 countries and the BRICS countries with regard to this type of structure. For the publication year 2013, cosine similarity values regarding the citation disciplinary structures of these countries（and of nine other countries） were used as input to cluster analysis. We also obtained cosine similarity values for a given country and its citation disciplinary structures across the two publication years. Moreover, for the publication year 2013, the within-country JeffreysMatusita distance between publication and citation disciplinary structure was measured. Research limitations： First, the citation disciplinary structures of countries depend on multiple and complex factors. It is therefore difficult to completely explain the formation and change of the citation disciplinary structure of a country. This study suggests some possible causes, whereas detailed explanations might be given by future research. Second, the length of the citation window used in this study is three years. However, scientific disciplines differ in their citation practices. Comparison between citations across disciplines using the same citation window length may affect the citation discipline structure results for some countries.Practical limitations： First, the results of this study are based on the WoS database. However, in this database some fields are covered to a greater extent than others, which may affect the results for the citation discipline structure for some studied countries. In future research, we might repeat this study using another database（like Scopus） and, in that case, we would like to make comparisons between the two outcomes. Second, the use of a constant journal setyielded that a large share of the journals covered by WoS year 2013 is ignored in the study. Thus, disciplinary structure is studied based on a quite restricted set of publications. The three mentioned limitations should be kept in mind when the results of this study are interpreted.Originality/value： Disciplinary structure on country level is a highlighted topic for the S＆T policy makers, especially for those come from developing countries. This study observes the disciplinary structure in the view of academic impact, and the result will provide some evidence to make decision for the discipline strategy and funding allocation. Besides, JeffreysMatusita distance is introduced to measure the similarity of citation disciplinary structure and publication disciplinary structure. By applying this measure, some new observations were drawn, for example, ＂Based on the comparison of publication disciplinary structure and citation disciplinary structure, the paper finds most BRICS counties have less impact with more publications＂.Findings： The outcome of the cluster analysis indicates that the G7 countries and BRICS countries are quite heterogeneous regarding their citation disciplinary structure. For a majority of the G7 countries, the citation disciplinary structure tend to be more stable compared to BRICS countries with regard to the years 1993 and 2013. Most G7 countries, with United States as an exception, turned out to have lower values on the Jeffreys-Matusita distance than BRICS countries, indicating a higher degree of heterogeneity between the publication and the citation disciplinary structure for the latter countries. In other words, BRICS countries still receive much less citations in most disciplines than their publication output would suggest. G7 countries can still expect more citations than is to be expected based on their publication output, thereby generating relatively more impact than BRICS countries.

Identifying Scientific Project-generated Data Citation from Full-text Articles: An Investigation of TCGA Data Citation

Purpose： In the open science era, it is typical to share project-generated scientific data by depositing it in an open and accessible database. Moreover, scientific publications are preserved in a digital library archive. It is challenging to identify the data usage that is mentioned in literature and associate it with its source. Here, we investigated the data usage of a government-funded cancer genomics project, The Cancer Genome Atlas（TCGA）, via a full-text literature analysis.Design/methodology/approach： We focused on identifying articles using the TCGA dataset and constructing linkages between the articles and the specific TCGA dataset. First, we collected 5,372 TCGA-related articles from Pub Med Central（PMC）. Second, we constructed a benchmark set with 25 full-text articles that truly used the TCGA data in their studies, and we summarized the key features of the benchmark set. Third, the key features were applied to the remaining PMC full-text articles that were collected from PMC.Findings： The amount of publications that use TCGA data has increased significantly since 2011, although the TCGA project was launched in 2005. Additionally, we found that the critical areas of focus in the studies that use the TCGA data were glioblastoma multiforme, lung cancer, and breast cancer; meanwhile, data from the RNA-sequencing（RNA-seq） platform is the most preferable for use.Research limitations： The current workflow to identify articles that truly used TCGA data is labor-intensive. An automatic method is expected to improve the performance.Practical implications： This study will help cancer genomics researchers determine the latest advancements in cancer molecular therapy, and it will promote data sharing and data-intensive scientific discovery.Originality/value： Few studies have been conducted to investigate data usage by governmentfunded projects/programs since their launch. In this preliminary study, we extracted articles that use TCGA data from PMC, and we created a link between the full-text articles and the source data.

100 classic papers of interventional radiology: A citation analysis

AIM: To define the 100 citation classic papers of interventional radiology.METHODS: Using the database of Journal Citation Reports the 40 highest impact factor radiology journals were chosen. From these journals the 100 most cited interventional radiology papers were chosen and analysed.RESULTS: The top paper received 2497 citations and the 100 th paper 200 citations. The average number of citations was 320. Dates of publication ranged from 1953- 2005. Most papers originated in the United States(n = 67) followed by Italy(n = 20) and France(n = 10). Harvard University(n = 18) and Osped Civile(n = 11) were the most prolific institutions. Ten journals produced all of the top 100 papers with "Radiology" and "AJR" making up the majority. SN Goldberg and T Livraghi were the most prolific authors. Nearly two thirds of the papers(n = 61) were published after 1990.CONCLUSION: This analysis identifies many of the landmark interventional radiology papers and provides a fascinating insight into the changing discourse within the field. It also identifies topics, authors and institutions which have impacted greatly on the specialty.

A brief statistical analysis of stomatology papers published in international journals by researchers from the mainland of China-Based on Thomson Reuters’ Journal Citation Reports for 2009

This paper has briefly analyzed the publication status of Chinese stomatology papers in 2009 with statistics from Journal Citation Reports provided by Thomson Scientific. Only those papers with the first author coming from the mainland of China were included for calculations. We have found a significant increase in the number of SCIE-indexed papers, most of which were published by six dental institutions in China. Among all Chinese medical institutions, West China School of Stomatology Sichuan University is the first dental institution to enter the top-20 list with the most publications, and it also ranks the 9th in the number of outstanding articles. West China School of Stomatology Sichuan University and the Forth Military Medical University are the only two dental institutions in China which have published SCIE-indexed papers over a hundred. The former has published the most SCIE-indexed stomatology papers, while the latter has the highest average impact factor. As the laboratories and funds in China have close connections with various dental hospitals, the pratice of translational medicine in dentistry is fast and fluent.

A New Citation Recommendation Strategy Based on Term Functions in Related Studies Section

Purpose:Researchers frequently encounter the following problems when writing scientific articles:(1)Selecting appropriate citations to support the research idea is challenging.(2)The literature review is not conducted extensively,which leads to working on a research problem that others have well addressed.The study focuses on citation recommendation in the related studies section by applying the term function of a citation context,potentially improving the efficiency of writing a literature review.Design/methodology/approach:We present nine term functions with three newly created and six identified from existing literature.Using these term functions as labels,we annotate 531 research papers in three topics to evaluate our proposed recommendation strategy.BM25 and Word2vec with VSM are implemented as the baseline models for the recommendation.Then the term function information is applied to enhance the performance.Findings:The experiments show that the term function-based methods outperform the baseline methods regarding the recall,precision,and F1-score measurement,demonstrating that term functions are useful in identifying valuable citations.Research limitations:The dataset is insufficient due to the complexity of annotating citation functions for paragraphs in the related studies section.More recent deep learning models should be performed to future validate the proposed approach.Practical implications:The citation recommendation strategy can be helpful for valuable citation discovery,semantic scientific retrieval,and automatic literature review generation.Originality/value:The proposed citation function-based citation recommendation can generate intuitive explanations of the results for users,improving the transparency,persuasiveness,and effectiveness of recommender systems.

CitationAS： A Tool of Automatic Survey Generation Based on Citation Content

Purpose： This study aims to build an automatic survey generation tool, named CitationAS, based on citation content as represented by the set of citing sentences in the original articles.Design/methodology/approach： Firstly, we apply LDA to analyse topic distribution of citation content. Secondly, in CitationAS, we use bisecting K-means, Lingo and STC to cluster retrieved citation content. Then Word2Vec, Word Net and combination of them are applied to generate cluster labels. Next, we employ TF-IDF, MMR, as well as considering sentence location information, to extract important sentences, which are used to generate surveys. Finally, we adopt manual evaluation for the generated surveys.Findings： In experiments, we choose 20 high-frequency phrases as search terms. Results show that Lingo-Word2Vec, STC-Word Net and bisecting K-means-Word2Vec have better clustering effects. In 5 points evaluation system, survey quality scores obtained by designing methods are close to 3, indicating surveys are within acceptable limits. When considering sentence location information, survey quality will be improved. Combination of Lingo, Word2Vec, TF-IDF or MMR can acquire higher survey quality.Research limitations： The manual evaluation method may have a certain subjectivity. We use a simple linear function to combine Word2Vec and Word Net that may not bring out their strengths. The generated surveys may not contain some newly created knowledge of some articles which may concentrate on sentences with no citing.Practical implications： CitationAS tool can automatically generate a comprehensive, detailed and accurate survey according to user’s search terms. It can also help researchers learn about research status in a certain field.Originality/value： Citaiton AS tool is of practicability. It merges cluster labels from semantic level to improve clustering results. The tool also considers sentence location information when calculating sentence score by TF-IDF and MMR.

Content Characteristics of Knowledge Integration in the eHealth Field:An Analysis Based on Citation Contexts

Purpose:This study attempts to disclose the characteristics of knowledge integration in an interdisciplinary field by looking into the content aspect of knowledge.Design/methodology/approach:The eHealth field was chosen in the case study.Associated knowledge phrases(AKPs)that are shared between citing papers and their references were extracted from the citation contexts of the eHealth papers by applying a stem-matching method.A classification schema that considers the functions of knowledge in the domain was proposed to categorize the identified AKPs.The source disciplines of each knowledge type were analyzed.Quantitative indicators and a co-occurrence analysis were applied to disclose the integration patterns of different knowledge types.Findings:The annotated AKPs evidence the major disciplines supplying each type of knowledge.Different knowledge types have remarkably different integration patterns in terms of knowledge amount,the breadth of source disciplines,and the integration time lag.We also find several frequent co-occurrence patterns of different knowledge types.Research limitations:The collected articles of the field are limited to the two leading open access journals.The stem-matching method to extract AKPs could not identify those phrases with the same meaning but expressed in words with different stems.The type of Research Subject dominates the recognized AKPs,which calls on an improvement of the classification schema for better knowledge integration analysis on knowledge units.Practical implications:The methodology proposed in this paper sheds new light on knowledge integration characteristics of an interdisciplinary field from the content perspective.The findings have practical implications on the future development of research strategies in eHealth and the policies about interdisciplinary research.Originality/value:This study proposed a new methodology to explore the content characteristics of knowledge integration in an interdisciplinary field.

An Automatic Method to Identify Citations to Journals in News Stories: A Case Study of UK Newspapers Citing Web of Science Journals

Purpose: Communicating scientific results to the public is essential to inspire future researchers and ensure that discoveries are exploited. News stories about research are a key communication pathway for this and have been manually monitored to assess the extent of press coverage of scholarship.Design/methodology/Approach: To make larger scale studies practical, this paper introduces an automatic method to extract citations from newspaper stories to large sets of academic journals. Curated ProQuest queries were used to search for citations to 9,639 Science and3,412 Social Science Web of Science(WoS) journals from eight UK daily newspapers during2006–2015. False matches were automatically filtered out by a new program, with 94% of the remaining stories meaningfully citing research.Findings: Most Science(95%) and Social Science(94%) journals were never cited by these newspapers. Half of the cited Science journals covered medical or health-related topics,whereas 43% of the Social Sciences journals were related to psychiatry or psychology. From the citing news stories, 60% described research extensively and 53% used multiple sources,but few commented on research quality.Research Limitations: The method has only been tested in English and from the ProQuest Newspapers database.Practical implications: Others can use the new method to systematically harvest press coverage of research.Originality/value: An automatic method was introduced and tested to extract citations from newspaper stories to large sets of academic journals.

Citation Classics in Patient Engagement Research: An Analysis of the 50 Most Cited Articles

Background: Patient engagement offers a promising pathway toward improved population health, better-quality care, and greater cost efficiency. The objective of the current study is to identify and analyze the characteristics of the 50 most frequently cited articles in patient engagement journals. Methods: The ISI Journal Citation Reports: Science Edition 2014 database was used to determine the most frequently cited published articles in Dec 2016. The most cited 50 articles were selected and assessed according to the published journal, origin of institutions, publication year, impact factor, topic, and type of study. Results: The 50 selected articles were published in 19 journals, the majority of which originated from the UK. The most common study design was quantitative study and reviews. The improvement of health care services quality and the construction of engagement model were the top two topics. And 2013 is the most published year receiving the most citations. Conclusions: Our findings provide a historical perspective on the scientific progress of patient engagement and allow for recognition of important developments and limitations in this field.

Can Crossref Citations Replace Web of Science for Research Evaluation?The Share of Open Citations

Purpose:We study the proportion of Web of Science(WoS)citation links that are represented in the Crossref Open Citation Index(COCI),with the possible aim of using COCI in research evaluation instead of the WoS,if the level of coverage was sufficient.Design/methodology/approach:We calculate the proportion on citation links where both publications have a WoS accession number and a DOI simultaneously,and where the cited publications have had at least one author from our institution,the Czech Technical University in Prague.We attempt to look up each such citation link in COCI.Findings:We find that 53.7%of WoS citation links are present in the COCI.The proportion varies largely by discipline.The total figures differ significantly from 40%in the large-scale study by Van Eck,Waltman,Larivière,and Sugimoto(blog 2018,https://www.cwts.nl/blog?article=n-r2s234).Research limitations:The sample does not cover all science areas uniformly;it is heavily focused on Engineering and Technology,and only some disciplines of Natural Sciences are present.However,this reflects the real scientific orientation and publication profile of our institution.Practical implications:The current level of coverage is not sufficient for the WoS to be replaced by COCI for research evaluation.Originality/value:The present study illustrates a COCI vs WoS comparison on the scale of a larger technical university in Central Europe.