Alison Hoens

What moves you? - Joint Journeys In her latest blog, Carrie shares what keeps her moving in the rainy and wet season.

JointHealth™ express - New blog post from #JointJourneys, life with arthritis by Carrie: What moves you?

Comment & let us know what moves you!

Read now: bit.ly/JointJourney...

@schroeder-uhn.bsky.social @arthritispower.bsky.social @physioktbroker.bsky.social @acr-journals.bsky.social

Timothy Caulfield on X: "What AI doesn’t know: we could be creating a global ‘knowledge collapse’ https://t.co/lkBwk9nkne "...disconnecting future generations from vast bodies of insight and wisdom that were never encoded yet remain essential, human ways of knowing. What’s at stake, then, isn’t just" / X What AI doesn’t know: we could be creating a global ‘knowledge collapse’ https://t.co/lkBwk9nkne "...disconnecting future generations from vast bodies of insight and wisdom that were never encoded yet remain essential, human ways of knowing. What’s at stake, then, isn’t just

Will AI lead to a global ‘knowledge collapse’? 🧪 x.com/caulfieldtim...

Handwritten notes are more helpful than typed motes 🧪 x.com/sciencnews/s...

‘We could have asked ChatGPT’: students fight back over course taught by AI Staffordshire students say signs material was AI-generated included suspicious file names and rogue voiceover accent

“We could have asked ChatGPT” Students fight back against instructor use of AI for slide and voiceover generation 🧪 www.theguardian.com/education/20...

A potential home for replication studies 🧪 elife-rp.msubmit.net/html/elife-r...

Beyond Citations: Measuring Idea-level Knowledge Diffusion from Research to Journalism and Policy-making Despite the importance of social science knowledge for various stakeholders, measuring its diffusion into different domains remains a challenge. This study uses a novel text-based approach to measure ...

"Using 72,703 documents (2000-2019) from three domains (i.e., research, journalism, and policy-making) that mention these ideas, we count the mentions of these ideas in each domain, estimate their domain-specific contexts, and track and compare differences across domains” 🧪 arxiv.org/abs/2511.03378

Undeclared use of AI - academic misconduct? 🧪 www.csescienceeditor.org/article/unde...

Shining Science on X: "Also: Pet ownership is associated with greater cognitive and brain health in a cross-sectional sample across the adult lifespan https://t.co/FqpDJ22nzg" / X Also: Pet ownership is associated with greater cognitive and brain health in a cross-sectional sample across the adult lifespan https://t.co/FqpDJ22nzg

Proof that having a pet is good for you 🧪 “In overarching multivariate analyses, we found clear support for the association between pet ownership and cognitive/brain health in an adult sample ranging up to 74 years. These effects were strongest for dog owners” x.com/shiningscien...

Google Scholar tool gives extra credit to first and last authors Researchers welcome the initiative, but say it doesn’t go far enough to capture the nuance of researcher productivity and impact.

New metric “Scholar h-index (Sh-index)” accounts for a researcher’s position in author lists to give higher score for first or last authorship 🧪 www.nature.com/articles/d41...

Infographic on the chemistry of pumpkins. The colour of pumpkins is due to carotenoid compounds such as beta-carotene, the same compound that gives carrots their orange colour. The vegetal aroma of pumpkins is mainly due to cis-3-hexen-1-ol, along with other six-carbon alcohols and aldehydes. Canned pumpkin is often not the same type of pumpkin as those used for carving, and consequently, the aroma compounds differ, including burnt-smelling 2-methylbutanal, coffee furanone, and furfural. Pumpkin spice flavour has little to do with pumpkin and more to do with the spices added, including cinnamon, nutmeg and clove.

It's #NationalPumpkinDay! 🎃

Why are pumpkins orange, and what do pumpkins have to do with pumpkin spice? Here are the chemical answers in @cenmag.bsky.social: cen.acs.org/articles/93/...

#ChemSky 🧪

A method for evaluating the productivity and research diversity of an individual scientific research paper We develop a method for evaluating the productivity and research diversity of an individual scientific research paper. The method is based on the prod…

Measuring impact: the productivity and research diversity indicator measures “a combination of the number of descendant papers … and the number of research directions emerging from it” 🧪 www.sciencedirect.com/science/arti...

Frontiers | “We find that…” changing patterns of epistemic positioning in research writing IntroductionEpistemic positioning refers to the writer’s commitment to the truth of a proposition and assessment of its potential impact on readers. Despite ...

Fascinating exploration of how scientific writing has changed over the past 60 years
“Our data suggest that writers have gradually shifted from modal verbs (e.g., may, must) to lexical verbs (e.g., suggest, show, demonstrate)”🧪
www.frontiersin.org/journals/psy...

PubMed Central (PMC) PMC is a free full-text archive of biomedical and life sciences journal literature at the U.S. National Institutes of Health's National Library of Medicine (NIH/NLM).

PubMed likely not up to date 🧪 pmc.ncbi.nlm.nih.gov

YouTube video by Creative Commons Open Licensing for Research with Creative Commons

www.youtube.com/watch?v=_IBT.... Open licensing for research with Creative Commons 🧪

Journal of Negative Results in BioMedicine Journal of Negative Results in Biomedicine (JNRBM) will cease to be published by BioMed Central as of 1stSeptember 2017. BioMed Central will continue to host ...

An iption of where to publish negative reaults 🧪 jnrbm.biomedcentral.com

Assessment of Large Language Models in Clinical Reasoning: A Novel Benchmarking Study Large language models (LLMs) are increasingly deployed for clinical decision support, yet standard evaluations such as medical licensing exams overlook how clinicians update decisions in dynamic co...

Ten LLMs were compared with 1070 medical students, 193 residents, 300 physicians. Testing revealed persistent limitations in LLM clinical reasoning, especially in models optimized for explicit reasoning 🧪 ai.nejm.org/doi/full/10....

Referential hallucination and clinical reliability in large language models: a comparative analysis using regenerative medicine guidelines for chronic pain - Rheumatology International This study compared language models’ responses to open-ended questions on regenerative therapy guidelines for chronic pain, assessing their accuracy, reliability, usefulness, readability, semantic similarity, and hallucination rates. This cross-sectional study used 16 open-ended questions based on the American Society of Pain and Neuroscience’s regenerative therapy guidelines for chronic pain. Questions were answered by ChatGPT-4o, Gemini 2.5 Flash, and Claude 4 Opus. Responses were rated on a 7-point Likert scale for usability and reliability, and a 5-point scale for accuracy. Hallucinogenicity, readability (FKRE, FKGL), and similarity (USE, ROUGE-L) were also assessed. Statistical comparisons were made, with significance set at p < 0.05. Claude Opus 4 showed the highest reliability (5.19 ± 1.11), usefulness (5.06 ± 1.0), and clinical accuracy (4.06 ± 0.68), outperforming ChatGPT-4o (4.13 ± 0.96; 3.94 ± 0.85; 3.38 ± 0.72) and Gemini 2.5 (4.19 ± 0.98; 4.06 ± 0.93; 3.38 ± 0.62). Claude had the lowest reference hallucinations (RHS 4.44 ± 3.18) vs. ChatGPT-4o (8.38 ± 1.86) and Gemini 2.5 (8.75 ± 1.73). In semantic similarity, Claude (0.68 ± 0.08) and Gemini (0.65 ± 0.07) surpassed ChatGPT-4o (0.60 ± 0.09). Gemini led in ROUGE-L F1 (0.12 ± 0.03) vs. Claude (0.10 ± 0.02) and ChatGPT-4o (0.07 ± 0.03). Readability was similar, though Gemini had a higher FKGL (11.3 ± 1.06) than Claude (10.3 ± 2.09). Claude Opus 4 showed superior accuracy, reliability, and usefulness, with significantly fewer hallucinations. Readability scores were similar across models. Further research is recommended.

Think beyond ChatGPT: “Claude Opus 4 showed superior accuracy, reliability, and usefulness, with significantly fewer hallucinations. Readability scores were similar across models” 🧪 link.springer.com/article/10.1...

How to Communicate Medical Numbers This JAMA Insights provides evidence-based recommendations for communicating numerical information to patients.

How to communicate numbers to patients / public 🧪 jamanetwork.com/journals/jam...

Prestige over merit: An adapted audit of LLM bias in peer review Large language models (LLMs) are playing an increasingly integral, though largely informal, role in scholarly peer review. Yet it remains unclear whether LLMs reproduce the biases observed in human de...

AI-based peer review susceptible to prestige bias 🧪 arxiv.org/abs/2509.15122

Barriers and Facilitators to the Recruitment and Engagement of Diverse Populations Into Patient and Family Advisory Councils: A Scoping Review - Madison P Leia, Kaitlin See, Colleen Cuthbert, 2025 Patient and family advisory councils (PFACs) serve as structured collaborative groups where patients and caregivers partner with healthcare professionals to sha...

Looking for ideas for recruiting a wider spectrum of the population? “Facilitators that can improve reach to these vulnerable populations include culturally tailored outreach, relationship-building with community leaders, and reducing logistical barriers” 🧪 journals.sagepub.com/doi/full/10....

Education report calling for ethical AI use contains over 15 fake sources Experts find fake sources in Canadian government report that took 18 months to complete.

Using AI/LLMs? - always check for generation of fake sources 🧪 arstechnica.com/ai/2025/09/e...

Check if your work has been used to train an AI LLM model 🧪 mastodon.sdf.org/@historianes...

Anthropic uses a questionable dark pattern to obtain user consent for AI data use in Claude Anthropic’s new data policy raises legal concerns with its use of questionable dark patterns.

Be aware that you may need to opt-out of data sharing with your AI model 🧪 the-decoder.com/anthropic-us...

How WIRED Got Rolled by an AI Freelancer We retracted a story in May. Here’s what happened.

Catching AI fabricated stories 🧪 www.wired.com/story/how-wi...

Yep, the photo that is linked is definitely not a shoulder 😆

Curious about which fields poast the most?

Medicine / Social science / Environmental science / Biochemistry

Note that these aren't corrected for field size, so love the strong showing from earth science too ⚒️🧪

Frontiers | Shoulder pain: to image or not to image? 1. INTRODUCTION Imaging findings should be interpreted within the broader context of an individual's shoulder symptoms (1). While imaging is valuable in ...

The pros and cons re the use of imaging for shoulder pain
🧪 www.frontiersin.org/journals/reh...

Muscle matters: the effects of medically induced weight loss on skeletal muscle The importance of skeletal muscle mass is increasingly being recognised in the medical field.1 The crucial roles of skeletal muscle have come to the forefront of public attention due to data on the us...

Oxempic/Wegovy etc: “Studies suggest muscle loss with these medications … ranges from 25% to 39% of the total weight lost over 36–72 weeks” 🧪 A portion of the weight loss is muscle loss- include resistance exercise training www.thelancet.com/journals/lan...

Bar chart showing the distribution of Bluesky posts referencing scholarly articles across different domains from January 2023 to July 2025.

NEW STUDY:
Types of science🧪 articles shared on Bluesky:
Health 29%
Social 25%
Physical 23%
Life 23%
arxiv.org/pdf/2507.18840
Worth reading--lots of other insights!

Lately, I've been sharing our new article on global religious decline www.nature.com/articles/s41...

Scientists no Longer Find Twitter Professionally Useful, and have Switched to Bluesky Synopsis. Social media has become widely used by the scientific community for a variety of professional uses, including networking and public outreach. For

Hey everybody! @drjuliawester.bsky.social and I have a new paper!

We surveyed over 800 scientists, science communicators, and science educators who use social media.

Conclusion: Scientists no longer find Twitter useful or pleasant, and many have switched to Bluesky! 🧪🌎🦑

doi.org/10.1093/icb/...