The Scientist’s Post

Here’s how you can read and understand a scientific paper in five easy steps. https://lnkd.in/dpgkg7Nk

Here is my newly published paper in Reflective Practice Journal. https://lnkd.in/dKDhwDXM

I used to care and was always a little bothered that I never did ever was first author ever. Unfortunately institutions, universities, funders and the general science community places too much emphasis into reading what does the order of authorship mean and what has this person done based off of his/her publication records. Maybe a "radical" opinion but why not ask the person what they did than guess from the order in which they appeared in papers? Trying to "judge" scientific output and impact using reductive numbers like FWCI and h-index is a simple shortcut and unfortunately often needed if we want an easily measurable metric (I admit that I've definitely contributed and also used these metrics myself). But I do wonder if we can do better and somehow go beyond yet not getting swamped with needing to collect all the info and data (plus evaluate them somehow). How should we really think about assessing a scientist?

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🌟 New Workshop Alert! 📊 "Research Skills (Write a Bibliometric Paper)" Session 1: Introductions by Nader Ale Ebrahim 📈 Dive into the world of #Bibliometrics with the creator of the Research Tools Box. Discover how statistical analysis shapes modern research. 🔍 Learn techniques like citation analysis, keyword co-occurrence, and more. Perfect your literature search and craft impactful papers. 📝 Join us to transform your research journey! 🔗 https://lnkd.in/d-GsuYFx #ResearchSkills #AcademicWriting #BibliometricAnalysis #ResearchImpact

Now imagine adding in interdisciplinary work where different disciplines attach different meanings to author position! Many of my articles have authors listed in alphabetical order to avoid this. You’ll find me as last author and buried in the middle on articles where I have led, conceptualised and conducted the majority of work and writing. Yet I have had a director of research dismiss them because I was ‘not first author’. There is generally no kudos for last or corresponding author in social science - it is first or nothing. I have seen articles published where I am not named nor acknowledged despite being a co-I. Bit of a surprise. I have had rather more lovely surprises where I have been named on articles resulting from data I collected as a postdoc many years ago. I have included authors in lists where their contribution was less clear, and excluded people who may have thought they ‘deserved’ authorship because I was fed up and pulled rank when they did not contribute. I love working collaboratively. But authorship can definitely cause contention, grumpiness, and resentment. My experience suggests it is best to discuss authorship openly and early. What do the positions mean to everyone? Who ‘needs’ prestigious authorship positions most (eg because they are in a precarious position, early career, or part of an underrepresented group)? On the verge of submission is everyone still happy with the order? #EquitableResearch #ResearchCulture #Publishing #Goals #AuthorOrder

The question is how do we change this as professionals? Well, a good first step is learning more about DORA, an initiative supporting alternative measures of scientific contribution than the personal h-index. I wholeheartedly support this declaration, and I believe such endeavors will only improve science.

📚🔍 Excited to share insights from Nader Ale Ebrahim’s illuminating presentation on Bibliometric Papers! 🌟 In Session 9, he delves into crafting impactful bibliometric research. 📊 📝  🚀 Check it out here:  #ResearchSkills #Bibliometrics #AcademicImpact

Just wrapped up the Writing in the Sciences course from Stanford University School of Medicine on Coursera!📝 Learning the importance of clarity, simplicity, and precision in scientific writing was a game-changer. The course was all about discovering how to tell engaging scientific stories—who knew writing about scientific data could be fun and engaging? Ready to level up my writing game with these valuable insights !!

Asking a single reviewer to collapse the rich complexity of a nuanced paper into a single, unidimensional, binary decision produces uncertainty? Of that, I am highly confident. 📉 How about we flip the model instead, *starting* with binary judgements on *multiple dimensions* by *many reviewers*, and making all that data available to the public. That way, we retain the rich complexity of the paper, reviewers have an easier task to complete (read: inclusive), and users can filter data ad infinitum to suit their values and interests (rather than just the bean counters). 🫘 I’m reasonably certain this would improve reviewer confidence, while better serving the needs of researchers and the public, and I’m looking forward to testing that theory out. 📈 #WisdomSystem