Citations Of Scientific Papers Research Articles

Pelatihan Sitasi Karya Ilmiah Menggunakan Mendeley

Writing of scientific paper is done by following specified rules and regulations. In reality there are many students at the Faculty of Engineering, University of Sulawesi Barat who do not understand this well, for example: not paraphrasing quotations and not including reference sources correctly. Mendeley application can help students in writing scientific papers or final assignments but it still underutilized by students. This shows the importance of reference citing skills and utilizing the Mendeley application. So, it is necessary to conduct scientific paper citation training. The training was done through planning, training and evaluation activities. Planning aims to prepare and determine the needs during the training. The main activity, training, was organized for two days using a webinar concept on the first day which focused on providing material for preparing scientific work references and a training concept on the second day which focused on practice using Mendeley and coaching research proposals. Last activity, an evaluation was carried out to measure the successfulness of the training and further plans related to similar activities. The results of the training activities showed the participation of 68 students on the first day and 36 students on the second day. The results of the survey showed 100% of students who participated in training felt the benefits of the training therefore they hoped similar activities could be held every year. Another evaluation result is that student supervision should be done in small groups, so the reception of material more effective regarding how to cite scientific papers.

Integrating an artificial intelligence chatbot in scientific communication: Dos and don’ts

The art of narrative and storytelling in scientific prose is now considered as an integral part of any well-rounded scientific communication process. Hence, when the AI-driven ChatGPT facility was made available online many scientists wanted to assess this new marvel. Over the course of several months, we explored its functionalities and opportunities in the field of scientific publication and collected both positive and negative experiences. Among the latter, the most compelling example was asking ChatGPT for scientific references. In this short communication we describe dialogs in which we sought to steer the AI towards fact-based assertions while it continued to produce false citations of papers, abstracts, communication to non-existing congresses, etc. Through exchanges on the forum of the open AI platform we realized that other scientists have encountered the same problem, even when searching for patents and industrial property rights. Our recommendation is that the AI of ChatGPT would be instructed on the role and uniqueness of scientific paper citations. Moreover, relevant agencies should plan for creating and adopting policies to rule out inappropriate behaviors by AI in fields in which errors could cost (at least) loss of trust in science by the general population.

Citation metrics: To refuse or use?

The article analyzes the use of bibliometric indicators to evaluate the work of scientists. We answer the question of why bibliometric assessments of scientific work have become so widespread in recent decades; also, we consider the pros and cons of such assessments from the point of view of public welfare. The paper gives recommendations for reforming the current system of assessing the effectiveness of scientific work. It is necessary to minimize reporting on publications and citations and not create conditions for a race in the number of citations and articles. Since citations of scientific papers have a delay, the assessment of published articles based on bibliometrics should have a lag of 1 to 5 years, depending on the research area. Publication in a scientific journal should not be the only form of presenting the results of scientific work: conference reports, reports (including grants), monographs, etc. must also be taken into account. For effective organization of science, formal rules alone are not sufficient; informal institutions are no less important, primarily the institution of scientific reputation. In order to stimulate its development in the Russian scientific community, we offer using the formal institution of vicarious liability — the responsibility of employers for violations of employees. Liability, in this case, means the dependence of state funding of an organization on violations of scientific ethics committed by its researchers. Finally, it is necessary to reinforce the significance of the institution of peer review, making this process more public.

Penggunaan Aplikasi Mendeley Untuk Peningkatan Kualitas Riset Akuntansi

The purpose of this community service activity is to introduce lecturers and students to the importance of citations in scientific papers that can be poured into theses, theses, dissertations and even scientific articles. The activity method is applied by three methods, namely the lecture method, the practice method, and the evaluation method. The participants of the activity came from several lecturers and students in Pontianak totaling 12 participants with a time of 2.5 hours. The activity is carried out with an introduction to the citation of scientific papers and the importance of citations, especially in accounting research topics so that the citations taken are in accordance with the needs and lead to the field of accounting science itself. Then proceed with the process of explaining the understanding and use of mendeley. The results of this activity explained that all participants felt helped and could understand the process of using the mendeley application to improve the quality of accounting research. The weakness in this activity is that it takes more time for some participants who are slow to use the laptop or lack high mastery of the laptop. This activity is expected to have sustainability with an understanding of several models of writing forms needed according to needs.

How relevant is climate change research for climate change policy? An empirical analysis based on Overton data.

Climate change is an ongoing topic in nearly all areas of society since many years. A discussion of climate change without referring to scientific results is not imaginable. This is especially the case for policies since action on the macro scale is required to avoid costly consequences for society. In this study, we deal with the question of how research on climate change and policy are connected. In 2019, the new Overton database of policy documents was released including links to research papers that are cited by policy documents. The use of results and recommendations from research on climate change might be reflected in citations of scientific papers in policy documents. Although we suspect a lot of uncertainty related to the coverage of policy documents in Overton, there seems to be an impact of international climate policy cycles on policy document publication. We observe local peaks in climate policy documents around major decisions in international climate diplomacy. Our results point out that IGOs and think tanks–with a focus on climate change–have published more climate change policy documents than expected. We found that climate change papers that are cited in climate change policy documents received significantly more citations on average than climate change papers that are not cited in these documents. Both areas of society (science and policy) focus on similar climate change research fields: biology, earth sciences, engineering, and disease sciences. Based on these and other empirical results in this study, we propose a simple model of policy impact considering a chain of different document types: The chain starts with scientific assessment reports (systematic reviews) that lead via science communication documents (policy briefs, policy reports or plain language summaries) and government reports to legislative documents.

Specialized terminology reduces the number of citations of scientific papers.

Words are the building blocks of communicating science. As our understanding of the world progresses, scientific disciplines naturally enrich their specialized vocabulary (jargon). However, in the era of interdisciplinarity, the use of jargon may hinder effective communication among scientists that do not share a common scientific background. The question of how jargon limits the transmission of scientific knowledge has long been debated but rarely addressed quantitatively. We explored the relationship between the use of jargon and citations, using 21 486 articles focusing on cave research, a multidisciplinary field particularly prone to terminological specialization, and where linguistic disagreement among peers is frequent. We demonstrate a significant negative relationship between the proportion of jargon words in the title and abstract and the number of citations a paper receives. Given that these elements are the hook to readers, we urge scientists to restrict jargon to sections of the paper where its use is unavoidable.

Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks

Tremendous academic information causes serious information overload problems while supporting scientific research. Scientific paper and citation recommendation systems have been developed to relieve this problem and work as a filter to furnish only relevant papers to researchers. Although previous studies have made comparative progress, this problem is still challenging because current paper recommendation systems rely on heterogeneous and multi-sourced features, thereby requiring a unified learning representation to cover different types and modalities of information. Additionally, the implicit influence of scholars’ previous preferences of writing and citing on his/her new manuscript has not been well considered in the previous studies. Facing the issue from these two aspects, in this paper, a heterogeneous knowledge embedding-based attentive RNN model is proposed to recommend scientific paper citations. First, the preparation of features consists of two parts: (1) building a unified learning representation of structural entities and relations for recommending paper citations; and (2) defining and constructing a bibliographic network comprising five types of entities and five relations. The bibliographic network enables learning a unified representation so that all graphical entities and relations can be vectorized using TransD. To establish textual representations, the PV-DM model is utilized to generate numeric features for the title of each paper. Second, by combining structural and textual representations focusing on the “author-text query” scenario, an attentive bidirectional RNN is constructed to recommend paper and citation based on an user’s identity with a length-limited inquiry to capture the scholars’ previous writing and citing preferences, thereby reducing recommendation error. Through the DBLP dataset, our experiment results show the feasibility and effectiveness of our method, both in terms of the number as well as the quality of the first few recommended items. In specific, compared with existing models, our model has improved MRR and NDCG by approximately 4.8% and 2.4%, respectively.

A well-tailored centrality measure for evaluating patents and their citations

Purpose The development of innovations in all the research and development (R&D) fields is leading to a huge increase of patent data. Therefore, it is reasonable to foresee that, in the next future, Big Data-centered techniques will be compulsory to fully exploit the potential of this kind of data. In this context, network analysis-based approaches are extremely promising. The purpose of this paper is to provide a contribution to this setting. In fact, the authors propose a well-tailored centrality measure for evaluating patents and their citations. Design/methodology/approach The authors preliminarily introduce a suitable support directed network representing patents and their citations. After this, the authors present the centrality measures, namely, “Naive Patent Degree” and “Refined Patent Degree.’” Then, the authors show why they are well tailored to capture the specificities of the patent scenario and why classical centrality measure fails to fully reach this purpose. Findings The authors present three possible applications of the measures, namely: the computation of a patent “scope” allowing the evaluation of the width and the strength of the influence of a patent on a given R&D field; the computation of a patent lifecycle; and the detection of the so-called “power patents,” i.e., the most relevant patents, and the investigation of the importance, for a patent, to be cited by a power patent. Originality/value None of the approaches proposing the application of centrality measures to patent citation networks consider the main peculiarity of this scenario, i.e., that, if a patent pi cites a patent pj, then the value of pi decreases. So, differently from classical scientific paper citation scenario, in this one performing a citation has a cost for the citing entity. This fact is not considered by all the approaches conceived to investigate paper citations. Nevertheless, this feature represents the core of patent citation scenario. The approach has been explicitly conceived to capture this feature.

CROSSREF AS A SOURCE OF SCIENTOMETRIC DATA FOR SOCIAL & HUMAN SCIENCES

Modern scientometrics successfully uses a number of analytical methods for studying scientific publications, however, the application of even most advanced analytical methods to erroneous or incomplete data leads to false results. The subject matter of the article is modern approaches and technologies for obtaining bibliographic data from reliable open sources of scientific information for scientometric research. The goal of this work is to present the developed module ScientoMiner ICR, which extends the functionality of the analytical platform Gephi and enables importing bibliographic data from the public records of Crossref to conduct scientometric research in the field of citation analysis, the quality of which is guaranteed by using the DOI identification system. The following tasks are solved in the article: prospects for the development of the Initiative for Open Citations to create non-commercial open tools for tracking scientific citations; the use of the DOI system and the database of the Crossref registration agency is justified as a reliable source of bibliographic data and a mechanism for obtaining metadata of scientific publications; the capabilities of the ScientoMiner ICR module for the open Gephi platform for importing bibliographic data are revealed. The following methods of research are used - visualization and the analysis of the network of scientific citations. Conclusion – the suggested ScientoMiner ICR module for the Gephi platform simplifies the process of automatic export of Crossref data directly to Gephi, in particular, for the needs of scientometric analysis. The obtained results can be used in the process of creating new non-commercial tools for tracking the rate of scientific paper citation, especially in the social and human sciences, which are not presented in the databases of commercial scientometric products well enough.

Developing innovative interdisciplinary technological solutions for caregivers of older adults within Canada's technology and aging network

Caregivers are critical to the health and support of older people with disabilities. Canada's technology and aging network, AGE-WELL (agewell-nce.ca), is dedicated to the creation of technologies and services that benefit older adults and caregivers. One important research theme within this network focuses on the development of novel technological solutions to address caregivers’ needs. This presentation reports on AGE-WELL activities that seek to gain insight as to how to support care providers of older adults with disabilities. We use a mixed methods approach to contribute to a growing body of knowledge about the complexity and diversity of caregivers’ lives and needs. Our inclusive research approach captures, and integrates a breadth of stakeholders and disciplines. An overview of 10 ongoing and completed projects with a balance between discovery and application-based research is provided. These range from surveying caregivers to better understand their needs and challenges, to developing online assistive technology rating and recommendation systems for caregivers. The projects consider different care recipient conditions (cognitive and physical limitations), caregiver needs (physical, social, emotional, and financial) and caregiver groups (paid work roles and family caregivers). The results also highlight shared tools and strategies used by the researchers all focusing on the needs of caregivers, to optimize resources and increase visibility; these include a repository of scientific paper citations and promotional videos. This presentation offers an example of collaborative research that seeks to develop a wide range of innovative technological solutions that can benefit both the lives of disabled older adults and their caregivers.

Testing the science/technology relationship by analysis of patent citations of scientific papers after decomposition of both science and technology

The relationship of scientific knowledge development to technological development is widely recognized as one of the most important and complex aspects of technological evolution. This paper adds to our understanding of the relationship through use of a more rigorous structure for differentiating among technologies based upon technological domains (defined as consisting of the artifacts over time that fulfill a specific generic function using a specific body of technical knowledge).

KAJIAN SITASI KARYA ILMIAH DOSEN FIKOM UNPAD DALAM SKRIPSI MAHASISWA: ANALISIS SITASI KARYA ILMIAH DOSEN DALAM SKRIPSI MAHASISWA PADA DATABASE GDL DI FIKOM LIBRARY AND KNOWLEDGE CENTER (FLKC) UNIVERSITAS PADJADJARAN PADA SEMESTER GENAP TAHUN 2011

This study aims to determine the citation analysis of scientific papers of undergraduate theses of students of the Faculty of Communication Sciences, University of Padjadjaran during the Even Semester of the Academic Year 2011. This study aims to determine the characteristics (shape, author / sources, language) which are frequently cited in scientific papers, publications of source of information, the frequency of citations of scientific papers and the development of Communication Information Science and Library Studies based on distribution subject of the cited references. The population studied is 227 titles of undergraduate theses from 4 departments (Journalism, Public Relations, Management Communication & Library and Information Science). The population consists of 7089 citations. The results showed that the students appear to scientific papers from the Faculty of Communication’s lecturers. Especially those published in book form. The scientific papers of the Faculty of Communication’s lecturers are not yet cited in proper proportion. Besides that, there are students who still cite from private blogs. In general, student’s skill to cite is still below standard. The study recommended the socialization of scientific products of Faculty of Communication’s lecturers. A guide to standardization of bibliography writing is highly recommended.

Growing complex network of citations of scientific papers: Modeling and measurements

We consider the network of citations of scientific papers and use a combination of the theoretical and experimental tools to uncover microscopic details of this network growth. Namely, we develop a stochastic model of citation dynamics based on the copying-redirection-triadic closure mechanism. In a complementary and coherent way, the model accounts both for statistics of references of scientific papers and for their citation dynamics. Originating in empirical measurements, the model is cast in such a way that it can be verified quantitatively in every aspect. Such validation is performed by measuring citation dynamics of physics papers. The measurements revealed nonlinear citation dynamics, the nonlinearity being intricately related to network topology. The nonlinearity has far-reaching consequences including nonstationary citation distributions, diverging citation trajectories of similar papers, runaways or "immortal papers" with infinite citation lifetime, etc. Thus nonlinearity in complex network growth is our most important finding. In a more specific context, our results can be a basis for quantitative probabilistic prediction of citation dynamics of individual papers and of the journal impact factor.

Efficient Set-Correlation Operator Inside Databases

Large scale of short text records are now prevalent, such as news highlights, scientific paper citations, and posted messages in a discussion forum, and are often stored as set records in hidden-Web databases. Many interesting information retrieval tasks are correspondingly raised on the correlation query over these short text records, such as finding hot topics over news highlights and searching related scientific papers on a certain topic. However, current relational database management systems (RDBMS) do not directly provide support on set correlation query. Thus, in this paper, we address both the effectiveness and the efficiency issues of set correlation query over set records in databases. First, we present a framework of set correlation query inside databases. To the best of our knowledge, only the Pearson’s correlation can be implemented to construct token correlations by using RDBMS facilities. Thereby, we propose a novel correlation coefficient to extend Pearson’s correlation, and provide a pure-SQL implementation inside databases. We further propose optimal strategies to set up correlation filtering threshold, which can greatly reduce the query time. Our theoretical analysis proves that with a proper setting of filtering threshold, we can improve the query efficiency with a little effectiveness loss. Finally, we conduct extensive experiments to show the effectiveness and the efficiency of proposed correlation query and optimization strategies.

Differences in science based innovation by technology life cycles: the case of solar cell technology

This paper analyses the role of university research in industrial innovation by different phases of the technology life cycle (TLC) and by patent analysis of solar cell technology. It is found that, in the early phase of TLC, the role of academic research is to broaden the technology scope to provide a variety of technologies to the market. Industry can be benefited directly from universities as a source of new technology. In contrast, in the later phase of TLC where both product and process innovation are important, university industry collaboration (UIC) patents are greater in patent quality as measured by normalised forward citation. In addition, scientific paper citations and the experience of UIC by firms' inventors are beneficial to high impact inventions. Therefore, the impact of academic research comes into play in a more indirect way, using scientific knowledge embodied by industry researchers in the later phase of TLC.

Differences in science based innovation by technology life cycles: the case of solar cell technology

This paper analyzes the role of university research in industrial innovation by different phases of the technology life cycle (TLC) and by patent analysis of solar cell technology. It is found that, in the early phase of TLC, the role of academic research is to broaden the technology scope to provide a variety of technologies to the market. Industry can be benefited directly from universities as a source of new technology. In contrast, in the later phase of TLC where both product and process innovation are important, university industry collaboration (UIC) patents are greater in patent quality as measured by normalized forward citation. In addition, scientific paper citations and the experience of UIC by firms' inventors are beneficial to high impact inventions. Therefore, the impact of academic research comes into play in a more indirect way, using scientific knowledge embodied by industry researchers in the later phase of TLC.

Negative citations of scientific papers are rare

Negative citations of scientific papers are rare

Mobile Application for Accessing Paper Citation with Social Network Feature

The enormous usage of mobile gadget in this era gives opportunity to use this facility to improve the communication between researchers or students for sharing scientific paper citation data. Users can access easily electronic scientific journal data using their mobile gadget via internet connection. This research proposes to build mobile client-server application based on Android Operating System. Mobile application also equipped with social network feature, where users can share paper citation through Facebook. The integration with social network improves paper dissemination and facilitates collaborative research works between communities or groups on social network.

HOW TO EVALUATE SCIENTIFIC PRODUCTION.

To conduct a critical analysis of the two main bibliometric indexes used by science: the impact factor and the H index. Research was conducted on PubMed using the keywords: impact factor, Bibliometrics and H index. The citations of articles tend to follow a curve in which the articles published in a given year increase sharply to a peak occurring between two and six years after its publication. From this peak citations decline over time. The analysis of the scientific merit should not be based on only in bibliometric measure, but in the association of various parameters. The impact factor and the H index is mainly based on the number of citations of scientific papers, and this parameter, although important, should not be used alone, nor overvalued in the evaluation of teaching merit. Realizar análise crítica dos dois principais índices bibliométricos utilizados pela ciência: o fator de impacto e o índice H. Foi realizada pesquisa no Pubmed utilizando as palavras-chave: impact factor, bibliometrics, H index. As citações dos artigos tendem a seguir uma curva em que os artigos publicados em determinado ano aumentam agudamente para um pico que ocorre entre dois e seis anos após sua publicação. A partir deste pico, as citações declinam ao longo do tempo. A análise do mérito científico não deve ser baseada em apenas uma medida bibliométrica, mas em associação de medidas. O FI e o índice H se baseiam fundamentalmente no número de citações dos artigos científicos, e este parâmetro, apesar de importante, não deve ser utilizado sozinho e tampouco supervalorizado na avaliação do mérito docente.

Citations in scientific papers

Citations in scientific papers