Review
Computer Science, Artificial Intelligence
Shilpa Verma, Rajesh Bhatia, Sandeep Harit, Sanjay Batish
Summary: This study presents a literature review on the construction, refinement, and utilization of scholarly knowledge graphs. It assesses the current state-of-the-art techniques in the field, focusing on machine learning, rule-based learning, and natural language processing tools and approaches. The study also provides an analysis of existing applications and challenges in the construction, refinement, and utilization of knowledge graphs.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Computer Science, Interdisciplinary Applications
Houqiang Yu, Xinyun Yu, Xueting Cao
Summary: This study aims to measure the accuracy of news mentions data in the Altmetric database. The results show the existence of errors in the data, which could undermine the validity and reliability of studies based on it. The study summarizes the types and reasons for the errors and suggests possible measures to improve data quality.
Article
Information Science & Library Science
Purnima Rao, Satish Kumar, Weng Marc Lim, Akshat Aditya Rao
Summary: This research reveals the research cycle's six phases and the frequently used research tools in each phase by researchers worldwide. Most of these tools are classified as modern and innovative, emphasizing the importance of keeping up with technological advancements in scholarly communication.
Article
Computer Science, Interdisciplinary Applications
Janne Polonen, Otto Auranen
Summary: This study examines the research performance and scholarly communication profile of research funded by the Academy of Finland (AKA) compared to the overall output of Finnish universities. The study finds that AKA-funded research has a higher publication rate in leading journals and book publishers, and is more focused on peer-reviewed publications, journal articles, English language, foreign publishers, and open access publishing compared to the universities' output.
Article
Computer Science, Interdisciplinary Applications
Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa
Summary: This work fills a gap in literature by examining the citation-based impact of Italian publications from 2010-2017, distinguishing between private and public sector authorship. It investigates the impact of different forms of collaboration on private and public research, as well as the effects of international collaboration across different research fields.
JOURNAL OF INFORMETRICS
(2021)
Article
Health Care Sciences & Services
Shimrit Keddem, Aneeza Agha, Sabrina Morawej, Amy Buck, Peter Cronholm, Sarita Sonalkar, Matthew Kearney
Summary: This study examined historical trends in Twitter hashtags related to women and HIV PrEP and explored the content shared through Twitter. The findings showed that most relevant tweets were posted by organizations, with individual users including activists and personal users. The tweets predominantly targeted people of color and the LGBTQ community, but lacked cues to action. Future tweets should incorporate more theoretical constructs and broaden their audience to achieve greater impact, while also drawing on strategies used by the LGBTQ community.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Education, Scientific Disciplines
Joana Berger-Estilita, Valerie Luethi, Robert Greif, Sandra Abegglen
Summary: The study found that communication content during debriefings is closely related to learning outcomes, proposing different types of communication have different impacts on learning outcomes. Debriefers and participants primarily used advocacy, inquiry, illustration, and confirmation during debriefings. Some communication, such as guessing what others are thinking, apologies, evaluations, were not positively associated with learning outcomes.
Article
Medicine, General & Internal
Colin M. E. Halverson, Claire E. Donnelly, Michael Weiner, Joy L. Lee
Summary: This qualitative study analyzed clinical text messages to evaluate the functions of emoji and emoticons. The majority of these symbols were found to convey emotions and facilitate communication, without causing confusion or being seen as inappropriate.
Article
Computer Science, Information Systems
Rachel Fleming-May
Summary: Scholarly Communication is a frequently discussed topic in the field of Library and Information Science (LIS), but there are multiple understandings of it. This study uses the concept analysis method to explore how Scholarly Communication is employed in LIS literature, and finds that it is not a singular phenomenon but a concept with multiple dimensions and overlapping significance.
JOURNAL OF DOCUMENTATION
(2023)
Article
Health Care Sciences & Services
Catherine E. Slavik, Charlotte Buttle, Shelby L. Sturrock, J. Connor Darlington, Niko Yiannakoulias
Summary: This study analyzed the content and engagement of COVID-19 tweets authored by Canadian public health agencies and decision makers, finding that medical health officers authored the most COVID-19-related tweets and public health agencies had the highest daily tweet frequency related to COVID-19 throughout the study period. Most tweets provided information, but tweets promoting user actions received higher average retweets.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Zhichao Fang, Rodrigo Costas, Paul Wouters
Summary: This study investigates user engagement with scholarly tweets on Twitter, finding that likes are the most prevalent engagement metric and that tweets in the field of Social Sciences and Humanities are more likely to trigger user engagement. User engagement is also more associated with Twitter-related factors than with science-related factors.
Article
Business
Rakesh Gupta, Ritesh Pandey, V. J. Sebastian
Summary: This study reviews the current state of research on international entrepreneurial orientation (IEO) through bibliometric and network analysis, identifying publication trends, important research clusters, and future research opportunities in this field.
JOURNAL OF BUSINESS RESEARCH
(2021)
Article
Pharmacology & Pharmacy
Alina Cernasev, David R. Axon
Summary: Thematic analysis is a widely used approach in qualitative research, applicable in various disciplines. This manuscript aims to provide a concise description of the process for thematic analysis in pharmacy and healthcare research, discuss the rigor in qualitative studies, present available qualitative software for assistance, and highlight the contrast with quantitative analysis.
JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY
(2023)
Article
Pharmacology & Pharmacy
Qian Ding, Shaowei Wan, Thomas C. Dowling
Summary: Subgroup analysis is a method to evaluate the different effects of an intervention on participants with different baseline characteristics in clinical trials. This approach helps identify patient subgroups that may benefit from the intervention or generate hypotheses for future trials. However, there are pitfalls and limitations, such as post hoc data generation and insufficient sample size, which need to be recognized and avoided to prevent erroneous interpretations.
JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY
(2022)
Article
Pharmacology & Pharmacy
William L. Baker, Diana M. Sobieraj
Summary: Meta-analysis is the statistical combination of findings from individual studies, with key considerations including appropriate choice of analytic model, heterogeneity sources, sensitivity/subgroup analyses, and evaluation of small-study effects. Advanced applications like network meta-analysis and individual participant data meta-analysis allow for comparing interventions and effect modifiers. Various software packages are available depending on analysts' needs and familiarity with programming language and methods.
JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY
(2021)
Article
Computer Science, Information Systems
Brady Lund, Amrollah Shamsi
Summary: This study examines the proportion of women as first authors in major library and information science (LIS) journals over the years 1981-2020. The findings indicate significant growth in the proportion of women authors among the LIS journals, but primarily concentrated only among the library science journals, with information science journals falling well behind. These findings suggest that there is still considerable growth needed to decrease the gender gap among authorship in top LIS journals.
JOURNAL OF INFORMATION SCIENCE
(2023)
Article
Information Science & Library Science
Brady D. Lund, Ting Wang, Amrollah Shamsi, Jamilu Abdullahi, Esther Abosede Awojobi, Dhruba Jyoti Borgohain, Gema Bueno de la Fuente, Gilberto Parra Huerta, Alireza Isfandyari-Moghaddam, Md. Anwarul Islam, Ali Akbar Khasseh, Manika Lamba, Endang Fitriyah Mannan, David Manyonga, Boya Nan, Bing Nie, Vasantha Raju N., Eva Ugarte Pineda, Ravi Shukla, Rafaela Carolina da Silva, Aliyu Olugbenga Yusuf
Summary: The 21 authors of this study, 19 of whom are non-native English speakers, reflect on the barriers to publishing academic journal articles in top international journals. Limited English language skills, lack of research funding, and different research topics were identified as the most significant barriers. Possible measures to reduce the negative impact of the barriers include recruiting volunteers or using electronic translations for accepted articles, reducing software and subscription costs, expanding journal scope, and providing guidance and collaboration across borders.
INFORMATION DEVELOPMENT
(2023)
Article
Information Science & Library Science
Vinit Kumar, Brady Lund
Summary: This study compares the attributes of information seeking behavior studies in the United States and India, and finds major differences between the two countries. US research focuses more on health and medicine-related populations, employs more theories, and uses a variety of research methods, while Indian research focuses more on general populations, uses less theory, and heavily relies on questionnaires.
JOURNAL OF LIBRARIANSHIP AND INFORMATION SCIENCE
(2023)
Article
Information Science & Library Science
Amrollah Shamsi, Brady D. Lund, Shohreh SeyyedHosseini, Reza BasirianJahromi
Summary: This study examines the factors that Iranian medical researchers consider when selecting scholarly journals to submit their work. The findings indicate that these researchers value the expertise of experienced professionals and often use journal indexes to guide their selection. They also consider factors such as peer review time and submission guidelines complexity.
GLOBAL KNOWLEDGE MEMORY AND COMMUNICATION
(2023)
Article
Information Science & Library Science
Shohreh SeyyedHosseini, Brady D. Lund, Reza BasirianJahromi
Summary: This study examines the information-seeking behavior of Americans regarding COVID-19 vaccines and the scholarly research output related to each vaccine. The findings reveal that Pfizer attracts the most attention from the US population, while Moderna has the highest number of scholarly articles published. There is a positive association between information-seeking behavior and the amount of research produced.
GLOBAL KNOWLEDGE MEMORY AND COMMUNICATION
(2023)
Article
Information Science & Library Science
Brady D. Lund, Ting Wang, Abdullah Alenezi
Summary: This study examines the policy changes and announcement information provided by American public libraries during the early weeks of the COVID-19 pandemic and how the response evolved over the past two years. The findings indicate that the timing of COVID-19 response updates varied based on factors such as the size of the municipality and the political leaning of voters.
PUBLIC LIBRARY QUARTERLY
(2023)
Review
Information Science & Library Science
Danica White, Brady Lund, Daniel Agbaji, Sanjay Maurya, Shabnam Banerjee-McFarland
Summary: These toolkits are highly valuable for initiating discussions about diversity and antiracism in scholarly publishing and research units. It is recommended that scholarly publishers and researchers, including those within universities and research organizations, utilize these toolkits in their practice.
LEARNED PUBLISHING
(2023)
Article
Medical Ethics
Shahnaz Khademizadeh, Farshid Danesh, Samira Esmaeili, Brady Lund, Karen Santos-d'Amorim
Summary: This study investigated the reasons, citations, and Altmetrics indicators of retracted publications in the medical sciences between 2016 and 2020. The most common reason for retraction was intentional errors. China, the United States, and India had the highest number of retractions. These retracted papers received a total of 5,659 citations in other research publications, with 1,559 citations occurring after retraction. The retracted papers were also widely shared on online platforms, particularly on Twitter and by the general public.
ACCOUNTABILITY IN RESEARCH-ETHICS INTEGRITY AND POLICY
(2023)
Article
Computer Science, Information Systems
Brady D. Lund, Daniel Agbaji
Summary: While previous studies have focused on the ICT skills of digital natives, this study aimed to explore the ICT literacy skills of digital immigrants who grew up before the widespread use of digital technology. The researchers conducted a survey to collect data from participants and used regression and correlation analysis techniques with SPSS to examine the relationships and effects among variables. The findings suggest that exposure to technology, rather than age, gender, ethnicity, or education, plays a significant role in the development of ICT literacy skills.
JOURNAL OF INFORMATION SCIENCE
(2023)
Article
Computer Science, Interdisciplinary Applications
Brady Lund, Amrollah Shamsi
Summary: This study utilizes citation data from the Scite web tool to analyze which disciplines frequently use citations that either support or contrast previous works. The results show that medicine has the most combative citations, while mathematics has the least. However, it is important to understand that the combativeness of disciplines is not necessarily negative, especially in fields like medicine where challenging flawed ideas is crucial.
Article
Information Science & Library Science
Jinxuan Ma, Ting Wang, Brady Lund
Summary: This study analyzed data from 80 libraries' webpages and Facebook postings to examine how public libraries combated COVID-19 misinformation and promoted vaccination in their communities. The results showed that city size and number of MLS librarians significantly influenced the information shared. Six types of information contributed to higher vaccination rates: vaccination event information, local organization partnerships, vaccine information, library events, vaccine accessibility discussions, and free clinic time frames. Public libraries can play a crucial role in promoting evidence-based health information and increasing vaccination rates.
PUBLIC LIBRARY QUARTERLY
(2023)
Article
Computer Science, Information Systems
Dhruba Jyoti Borgohain, Brady Lund, Manoj Kumar Verma
Summary: This article aims to establish and measure the correlation of the h-index with other metrics in different mathematical aspects using bibliographic data from selected journals in the LIS domain. The study finds a high level of relationship between the h-index and g-index scores and m-index at the starting year of publication, but a lower level of relationship with other factors like the total number of publications and citations. This original study is valuable for researchers in LIS who are interested in knowing the h-index performance indicator and its relationship with other metrics.
JOURNAL OF INFORMATION SCIENCE
(2023)
Article
Information Science & Library Science
Brady D. Lund, K. T. Naheem
Summary: Academic publishers have responded rapidly to the impact of AI tools on authorship and academic integrity, but there is still a lack of understanding about AI authorship policies and the attitude of academic journals towards these tools. This study examines the AI authorship policies of 300 top academic journals and finds that over half of them have implemented AI authorship policies and guidelines. Acknowledging AI usage is commonly done in the methods or acknowledgement sections, with some journals introducing a dedicated section for AI usage. The study also identifies variations in AI authorship policies based on the publisher and discipline of the journal. The findings are valuable for publishers, editors, and researchers seeking insights into how academic journals are addressing the use of large language models and other AI tools in scholarly communications.
LEARNED PUBLISHING
(2023)
Review
Information Science & Library Science
Brady Lund
Summary: The purpose of this study is to identify typical sample sizes and response rates in questionnaire research studies within the discipline of information systems. The findings reveal that the typical questionnaire study received a median number of 217 respondents, and the median response rate was 27.8%. Articles published in journals included in the Social Science Citation Index had significantly larger sample sizes, and studies utilizing more advanced statistical methods had larger sample sizes. Structural equation modeling was the most frequently used method.
VINE JOURNAL OF INFORMATION AND KNOWLEDGE MANAGEMENT SYSTEMS
(2023)
Article
Information Science & Library Science
Dhruba Jyoti Borgohain, Manoj Kumar Verma, Brady Lund
Summary: This study provides a network analysis and visualization of Indian research performance in Sickle Cell Anaemia. It examines the current research status at various levels and identifies collaborations, productive authors, journals, and key keywords in the field. The study presents the progress made by India in researching this genetic disorder and offers valuable insights for future research in this area.
JOURNAL OF SCIENTOMETRIC RESEARCH
(2022)