Mathematics Group Journals’ Post

I recently found some interesting information on my ResearchGate profile. ResearchGate offers an interesting statistic (quantitative, but not qualitative) and allows to compare with other ResearchGate members and within different fields of research. But for the full number of citations, it is better to use Google Scholar. #ResearchGate #research #Database #GoogleScholar

Simple tips for new researchers. https://lnkd.in/gVjHjuyZ

Forced citations and vanity journals - we have two fascinating research integrity posts to share with you, both available now on Substack. 🙌 Research Musings: "A case of forced citations" - by Hélène Draux (Senior Data Scientist, Digital Science): https://ow.ly/TH4R50UfB6X Forensic Scientometrics: "Vanity Journals, Conflicts of Interest, and the Quest for Research Integrity" - by Dr Leslie McIntosh (VP of Research Integrity, Digital Science): https://ow.ly/vOf250UfB6c #ResearchIntegrity #FoSci #ForensicScientometrics

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How about I tell you about a AI-powered research assistant you can use for free!

"If ORCID profiles captured the workshops a researcher completed or conferences they submitted abstracts to, it would generate a dataset that would expose trends and patterns for participation in the career growth and scientific output of researchers. For example, what courses enrolled in by researchers five years ago are associated with publications today? Which conferences are impactful in starting careers for scientists who we are struggling to include? Institutions and funders who support these activities should be able to justify their investments by quantitatively demonstrating that funding led to impact. As further incentive, the updating of biographical information submitted for grant proposals (e.g. SciENcv for life scientists in the US) could be a way to ensure researchers more easily get credit for their professional development. Tenure committees and award programs should also incentivize professional development by favorably considering these efforts as evidence a researcher is systematically working to update their skills and knowledge." — Jason Williams, Life Science Trainers blog Chris Shillum #scholcomm

Clarivate compiles a list of the top 1% most cited researchers, drawing on citations in the literature. Increasingly, however, the organisation has had to be much more careful about taking citations and institutional affiliations at face value given the growing evidence of gaming the system and even downright fraud and misrepresentation. For example, in their most recent compilation 2,000 names were removed from the top 1% list after enquiries about the credibility of citations and the stability of primary institutional affiliation. This is just an insight into the way in which system of science and scholarship is in danger of being infected by manipulation and downright fraud when it comes to citations, authorships, paper content, editorial oversight, and peer review failures. #science #integrity

At Quest PhD Consultancy, our Data Analysis and Interpretation services are designed to provide researchers with in-depth insights into their collected data, ensuring accurate and meaningful conclusions. We employ advanced statistical techniques, software tools, and domain-specific methodologies to analyze both quantitative and qualitative data. Whether you're dealing with large datasets, experimental data, or survey responses, our expert team can help identify trends, patterns, and correlations that are critical for supporting your research hypotheses. Our interpretation services go beyond mere numbers, offering clear explanations and context that align with your research objectives, ensuring that your findings are robust, reliable, and ready for publication. #phd #phdadmission #thesiswriting #publication #journalpublication #sci #scopus #ugccare #Phdhelp #phdassistance #phdsupport #dissertation #research #researchhelp #researchsupport #phdthesis #phdthesiswriting #phdassignments #assignment #assignmentwritingservices #plagiarismchecking #plagiarismcheckingandreduction #patentfiling.

Do you have an opinion on open science? Perhaps you have used publicly available data or open-source code in research. Perhaps you have (successfully or unsuccessfully) made data or code freely available, or tried to make research reproducible. Perhaps you have commercialised an idea, and thought about if and how to share the underlying science. What are the pros and cons of open science? How does it help or hinder scientific progress? Please do share your thoughts by commenting on this post. (With thanks to Scriberia and the Turing Way for the illustration - from https://lnkd.in/e2VCUFYu , CC BY 4.0)