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  1. Canellas JVDS, Ritto FG, Rodolico A, Aguglia E, Fernandes GVO, Figueredo CMDS, et al.
    Front Res Metr Anal, 2023;8:1135853.
    PMID: 37588882 DOI: 10.3389/frma.2023.1135853
    BACKGROUND: INPLASY® is an international platform for registering systematic reviews and meta-analysis protocols that was launched in March 2020. INPLASY® provides an online database in which the protocols are maintained as permanent public records and can be accessed on its website (www.inplasy.com).

    METHODS: We described the database features and registered information of all records published since the launch of the registry on March 31, 2023. Additionally, we analyzed the website statistics dataset to explore user experience and promote data transparency.

    RESULTS: Four thousand six hundred fifty-eight records were registered in INPLASY®, and more than 94% of the protocols were published within 24 h. Most of the submissions were from China, followed by Portugal, Taiwan, Malaysia, and Brazil. The INPLASY® website received 386,395 page views from 64,568 visitors during the first three years. The accesses were obtained from 170 countries. Most of the accesses were from China, followed by the US, the UK, and Portugal. The review status "completed and published" was observed in 898 protocols, and these studies were published in 372 different scientific peer-reviewed journals. The features of INPLASY® include the following: (i) INPLASY® identifier, a unique protocol number; (ii) the digital object identifier (DOI) number, the URL of the protocol linked to a specific DOI; (iii) ORCID update, INPLASY® automatically updates authors' ORCID page, including their protocol; and (iv) search tools, the protocols are freely accessible on www.inplasy.com.

    CONCLUSIONS: INPLASY® has several practical and useful features that should be considered when planning the registration of a systematic review protocol. Furthermore, the sharp increase in the number of protocols registered in INPLASY® in the first three years and the database statistics demonstrate that INPLASY® has become an important source of systematic review protocols. Therefore, authors should access INPLASY® before planning a future review study to avoid unintended duplication of efforts and to obtain timely registration.

  2. Malik MA, Amjad AI, Aslam S, Fakhrou A
    Front Res Metr Anal, 2024;9:1486832.
    PMID: 39583913 DOI: 10.3389/frma.2024.1486832
    INTRODUCTION: The current study explored the influence of Chat Generative Pre-Trained Transformer (ChatGPT) on the concepts, parameters, policies, and practices of creativity and plagiarism in academic and research writing.

    METHODS: Data were collected from 10 researchers from 10 different countries (Australia, China, the UK, Brazil, Pakistan, Bangladesh, Iran, Nigeria, Trinidad and Tobago, and Turkiye) using semi-structured interviews. NVivo was employed for data analysis.

    RESULTS: Based on the responses, five themes about the influence of ChatGPT on academic and research writing were generated, i.e., opportunity, human assistance, thought-provoking, time-saving, and negative attitude. Although the researchers were mostly positive about it, some feared it would degrade their writing skills and lead to plagiarism. Many of them believed that ChatGPT would redefine the concepts, parameters, and practices of creativity and plagiarism.

    DISCUSSION: Creativity may no longer be restricted to the ability to write, but also to use ChatGPT or other large language models (LLMs) to write creatively. Some suggested that machine-generated text might be accepted as the new norm; however, using it without proper acknowledgment would be considered plagiarism. The researchers recommended allowing ChatGPT for academic and research writing; however, they strongly advised it to be regulated with limited use and proper acknowledgment.

  3. Mohammed TAS
    Front Res Metr Anal, 2024;9:1439407.
    PMID: 39664104 DOI: 10.3389/frma.2024.1439407
    This study examines research on maqāṣid al-shariī'ah in journals indexed in Web of Science (WoS) and Scopus. As maqāṣid al-shariī'ah plays a vital role in guiding Islamic legal theory and contemporary applications of Islamic law in various sectors of life, familiarity with the scholarly landscape of the field is essential for assessing its growing influence in both academic and practical contexts. Hence, this study aims to explore the trajectory of research in maqāṣid studies, identify its key focus areas, and conduct a document co-citation analysis to uncover patterns in scholarly collaboration and influence. In addition, the study examines contributing countries, organizations, and leading journals in this field. Four Hundred documents published between 2000 and 2022 were retrieved and analyzed using the metrics functionalities of both databases. In addition, advanced analytical tools including Publish or Perish, VOSviewer, and ScientoPy v1.3.5 were utilized to conduct a multifaceted examination that encompasses document co-citation, sources co-citation, and authors' keyword analyses, among others. Data were carefully filtered to include research related to maqāṣid al-shariī'ah as an area of applied Islamic thought and its applications in different disciplines. The findings of the study revealed that research outputs in maqāṣid al-shariī'ah studies span various disciplines including religion, business and economics, science and technology, and medicine among others. The development of publications between 2000 and 2022 for the two databases indicates distinct upward trends in cumulative publications and annual growth. A vibrant and diverse global research landscape exists for maqāṣid al-shariī'ah, with Malaysia and Indonesia leading in terms of productivity and impact. This article presents original findings which may be of significance to researchers in Islamic studies, applied Islamic thought, and related interdisciplinary and multidisciplinary fields. This scientometric study is limited to English journal articles that were published between 2000 and 2022 on maqasid research in Scopus and Web of Science (WoS). Given the dynamic nature of these two databases, where results can fluctuate rapidly due to the continuous addition of new papers or the retraction of existing articles, this study is limited to the datasets that were created at the time of investigation. These limitations might influence the generalizability of the findings.
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