1/2/25 (#24)

Bibliometrics - (1) from biblio- = book; metrics = measurements. Measurements of publications, authors, etc. (2) from bibliome = complete corpus of biological texts; metrics = measurements. Measurements of text corpora. 


Agenda and Minutes
To find this page go to: https://bibliometriks.blogspot.com (then click a "READ MORE" link)
  • NM: turn thesis into article? AAS is ok, next step is to develop an outline. AIs can be helpful as a first step.
    • Looking for a job, schedule and attendance at these meetings is not clear. 
    • IEEE is ok with using AI to write things but you have to explain in the Acknowledgement section.
    • Step 1: get an outline to guide you in making the article. Ask an AI! Claude.ai is able to take long docs like a thesis. Ask it to suggest a detailed outline for a scientific article on the thesis. Ask ChatGPT too. Compare the outlines, decide, etc.

  • TO:
    • Has identified a paper that models h-index stochastically. Would be a good starting point for a queuing model. We need to read that paper! He will send me a copy and we can start reading it during meetings. TO can help guide us as we read it.
    • Plans to do a review of many articles. Report briefly on each during our meetings and address questions we have.
      • Consider the concept of the "Systematic Review" or "Systematic Literature Review" (SLR). Plenty of guidance on the web about it, just hunt for it. My advice to PhD students writeup may have some more concrete links. See https://thehumanraceintospace.blogspot.com/p/how-to-do-research-and-get-phd-few-hints.html.
        • Makes your review more publishable.
        • Guides the reviewing process in a step by step, organized, systematic way that can help you figure out what to do.
          • A first step is decide on a scope of the review. You can change it when you start doing it and seeing what the terrain is like.
    • Overall research could address various experiments, such as
      • The interval based method NM used augmented by the add-to-100% constraint.
      • The 100%/80%/60% approach. Compare with interval approach, etc.
      • Use the mean and 2nd level citations. Etc.
      • Queuing model direction, things to check include potentially
        • Does publishing in a journal get more citations than other journals (cf. impact factors of journals)
        • Is an article a server or an arrival? Try to model it and see what happens!
        • Is a citation to an article a server or an arrival? Try to model it and see what happens! Etc.
          • Try different modeling approaches and compare and contrast and see if any of them have potential for further investigation.
      • https://bibliometriks.blogspot.com/p/to.html for other chapter ideas.
  • R&D (read & discuss): 
    • It was suggested for people to present summaries of papers during meetings.
    • Meho, L.; Akl, E. Using Bibliometrics to Detect Unconventional Authorship Practices and Examine Their Impact on Global Research Metrics, 2019-2023. Preprints 2024, 2024070691, https://doi.org/10.20944/preprints202407.0691.v1. We are up to Table 3 and can start there next time.
  • Adjourn.
 

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