Pelatihan Penggunaan Mendeley Dalam Penulisan Proposal Dan Skripsi Bagi Mahasiswa Bahasa Inggris Universitas Timor

Menulis sitasi merupakan salah satu komponen terpenting dalam rangka meningkatkan kualitas karya tulis ilmiah mahasiswa. Mendeley desktop adalah platform yang menyediakan berbagai jenis kutipan dalam penulisan ilmiah standar. Namun seringkali dalam penulisan kutipan, siswa masih menggunakan cara manual dengan menyortir nama penulis dari sumber yang diambil dan judul baik penomoran maupun abjad. Untuk itu perlu diadakan kegiatan pengabdian masyarakat melalui pelatihan penggunaan Mendeley dalam penulisan proposal dan skripsi bagi mahasiswa Bahasa Inggris FIP-Unimor. Kegiatan ini berlangsung selama 1 hari di Aula FIP-Unimor. Peserta yang mengikuti kegiatan pelatihan ini sebanyak 124 orang, dengan rincian semester 2 sebanyak 57 mahasiswa; semester 4 sebanyak 36, dan semester 6 sebanyak 31 siswa. Metode yang digunakan dalam pelatihan ini adalah ceramah, praktik, dan diskusi. Dampak dari pelatihan ini mahasiswa memiliki pemahaman dan keterampilan dalam mengoperasikan aplikasi Mendeley untuk pengelolaan referensi daftar pustaka. Disarankan agar kegiatan ini tidak hanya pelatihan tetapi dapat ditindaklanjuti dengan berbagai workshop lainnya dan diseminasi dapat menggunakan aplikasi Mendeley untuk mengerjakan berbagai bentuk penulisan ilmiah, jurnal, proposal, dan tesis

Does the public discuss other topics on climate change than researchers? A comparison of explorative networks based on author keywords and hashtags

Twitter accounts have already been used in many scientometric studies, but the meaningfulness of the data for societal impact measurements in research evaluation has been questioned. Earlier research focused on social media counts and neglected the interactive nature of the data. We explore a new network approach based on Twitter data in which we compare author keywords to hashtags as indicators of topics. We analyze the topics of tweeted publications and compare them with the topics of all publications (tweeted and not tweeted). Our exploratory study is based on a comprehensive publication set of climate change research. We are interested in whether Twitter data are able to reveal topics of public discussions which can be separated from research-focused topics. We find that the most tweeted topics regarding climate change research focus on the consequences of climate change for humans. Twitter users are interested in climate change publications which forecast effects of a changing climate on the environment and to adaptation, mitigation and management issues rather than in the methodology of climate-change research and causes of climate change. Our results indicate that publications using scientific jargon are less likely to be tweeted than publications using more general keywords. Twitter networks seem to be able to visualize public discussions about specific topics.Comment: 31 pages, 1 table, and 7 figure

On the quest for currencies of science: Field "exchange rates" for citations and Mendeley readership

PurposeThe introduction of “altmetrics” as new tools to analyze scientific impact within the reward system of science has challenged the hegemony of citations as the predominant source for measuring scientific impact. Mendeley readership has been identified as one of the most important altmetric sources, with several features that are similar to citations. The purpose of this paper is to perform an in-depth analysis of the differences and similarities between the distributions of Mendeley readership and citations across fields.Design/methodology/approachThe authors analyze two issues by using in each case a common analytical framework for both metrics: the shape of the distributions of readership and citations, and the field normalization problem generated by differences in citation and readership practices across fields. In the first issue the authors use the characteristic scores and scales method, and in the second the measurement framework introduced in Crespo et al. (2013).FindingsThere are three main results. First, the citations and Mendeley readership distributions exhibit a strikingly similar degree of skewness in all fields. Second, the results on “exchange rates (ERs)” for Mendeley readership empirically supports the possibility of comparing readership counts across fields, as well as the field normalization of readership distributions using ERs as normalization factors. Third, field normalization using field mean readerships as normalization factors leads to comparably good results.Originality/valueThese findings open up challenging new questions, particularly regarding the possibility of obtaining conflicting results from field normalized citation and Mendeley readership indicators; this suggests the need for better determining the role of the two metrics in capturing scientific recognition.Merit, Expertise and Measuremen

A BIBLIOMETRIC ANALYSIS OF TWENTY-EIGHT YEARS ON ‘ASSESSING PRONUNCIATION IN ENGLISH AS A SECOND/FOREIGN LANGUAGE CLASSES’ (1993-2021)

This bibliometric study examines the characteristics of the overall research trends, patterns of productivity, and publications on “assessment in second language pronunciation”.  Bibliometric data were retrieved from Web of Science (WoS on 1 September 2021 and the results of the study reveal that the first publication appeared in 1993 and, during the period of 28 years, there have been 118 publications between 1993 and 2021 in total. It was found that studies in this field have increased in recent years. The publications include articles and proceeding papers written by 2.31 authors per publication. The most cited document received 139 citations. It was also discovered that the most frequently used word is intelligibility and the trending topic is pronunciation. As for the affiliations, the most productive university is Concordia University in Canada. In the following headings, detailed information is discussed in detail

Mendeley readership as a filtering tool to identify highly cited publications

This study presents a large scale analysis of the distribution and presence of Mendeley readership scores over time and across disciplines. We study whether Mendeley readership scores (RS) can identify highly cited publications more effectively than journal citation scores (JCS). Web of Science (WoS) publications with DOIs published during the period 2004-2013 and across 5 major scientific fields have been analyzed. The main result of this study shows that readership scores are more effective (in terms of precision/recall values) than journal citation scores to identify highly cited publications across all fields of science and publication years. The findings also show that 86.5% of all the publications are covered by Mendeley and have at least one reader. Also the share of publications with Mendeley readership scores is increasing from 84% in 2004 to 89% in 2009, and decreasing from 88% in 2010 to 82% in 2013. However, it is noted that publications from 2010 onwards exhibit on average a higher density of readership vs. citation scores. This indicates that compared to citation scores, readership scores are more prevalent for recent publications and hence they could work as an early indicator of research impact. These findings highlight the potential and value of Mendeley as a tool for scientometric purposes and particularly as a relevant tool to identify highly cited publications

Análise Altmétrica da Produção Científica das Revistas brasileiras em Ciência da Informação Qualis A1 (2011-2017) no Mendeley

Objetivo: Analisa a atenção online no Mendeley recebida pelas revistas brasileiras em Ciência da Informação Qualis A1 publicadas no período de 2011-2017. Método: De caráter quali-quantitativo e exploratório, utilizou a altmetria para análise dos dados. Resultado: A pesquisa mostrou que 71,0% das publicações foram marcadas no Mendeley por pelo menos um usuário: Transinformação (78,0%), Perspectivas em Ciência da Informação (71,0%) e Informação & Sociedade (67,0%). Em análise das marcações por perfil ocupacional dos usuários no Mendeley, destacam-se estudantes de mestrado (22,0%), doutorado (20,0%) e graduação (16,0%). Na sua maioria, os usuários que marcam itens são de nacionalidade brasileira (63,0%), mas há também marcadores do continente europeu: Portugal (10,0%) e Espanha (6,0%) e sul-americano: Colômbia (8,0%). Conclusões: Conclui que o Mendeley tem demonstrado ser uma importante mídia social para a altmetria e para a avaliação da atenção online de publicações científicas

Do online readerships offer useful assessment tools?: discussion around the practical applications of Mendeley readership for scholarly assessment

Merit, Expertise and Measuremen