the metablog

Posts written by Daniel Jolley.
Daniel Jolley

About the author

Daniel Jolley is an anesthesiologist, founder and CEO of metajournal, providing personalized medical research recommendations to fellow doctors.

Read more from Daniel or follow on twitter.

A & A Case Reports now indexed by metajournal

Anesthesia and Analgesia's companion journal Anesthesia and Analgesia Case Reports is now indexed by metajournal, after being requested by our users.

A & A Case Reports has only been around since October 2013, after spinning off from the prestigious Anesthesia & Analgesia. It is now a standalone publication "...devoted exclusively to publishing cases that are educational and unusual."

A & A Case Reports now indexed by metajournal

You can jump in a browse the latest from A & A Case Reports among our indexed journals.

UPDATE:

Anesthesia & Analgesia has now evolved A & A Case Reports into A & A Practice – naturally, also indexed by metajournal!

Metajournal: now over half a million articles indexed!

Wow. Last week metajournal quietly indexed it's 500,000th article!

We now track over 100 journals related to critical care specialties: anesthesiology, emergency medicine, intensive care and pain medicine.

Everyday metajournal indexes, qualifies and assesses new articles published not just in these journals, but also the highest quality articles that are related to articles from these journals, regardless of where they are published.

This ensures that if a quality, significant and personally relevant article is published outside the core specialty journals that you follow, metajournal will still recommend the article to you.

Incredibly, only 9 months ago metajournal was celebrating indexing it's 50,000th article. Grow on!

Better article suggestions

To welcome in the new year, metajournal quietly rolled-out a big update to the machine learning magic that is the foundation for recommending quality, significant and personally relevant papers to you based on your professional medical interests.

Suggesting quality, significant, relevant medical papers and articles

The metajournal Collective Intelligence Engine, is the secret sauce that integrates evidence with your own interests, along with topics that other clinicians in your specialty are following and interested in.

Not only does metajournal look for quality articles that are relevant to the Topics and Journals that you follow – metajournal is now smart enough to follow your article reading behavior.

As you read and favorite papers and abstracts, metajournal learns more about the types of articles that you find most interesting and relevant – the topics, the authors, the journals, and many many more features. Metajournal will even recommend particularly relevant papers that are outside your followed journals, reducing the chance that you miss something truly important.

Metajournal is also smart enough to understand which articles you do not find interesting – simply click the not interesting... link under an abstract and metajournal will grow a little wiser by understanding what is not relevant to you.

The best way to get the most out of metajournal's growing intelligence is simply to teach metajournal more about what interests you: follow interesting Topics, click through to Read interesting abstracts and Favorite the most interesting papers, and when metajournal suggests Not interesting... articles – click the link to tell it!

Browse trending articles

When browsing your articles page you may have noticed a new link: trending articles.

Find and read trending medical articles and papers on metajournal

Trending articles gives you a glimpse into which papers the rest of the metajournal community, with similar clinical interests to you, are reading, sharing and studying.

These are not necessarily the latest or most recent articles, but rather those that currently most interest metajournal users who follow the same journals as you.

Read latest medical articles and papers on metajournal

Next to the trending tab, you will also find a link to the latest articles - showing the newest articles published from all the journals that you follow in your metajournal account. This is a great way to dip your toe into the waters of the latest published research in your field, browsing through the freshest and newest papers.

Between metajournal's article suggestions, trending and latest articles, you will be certain to find something that not only interests you – but also improves your practice.

Find related articles

Metajournal now suggests related articles underneath the abstract you are reading.

This is a simple feature that may have a dramatic impact on your understanding and appreciation of the greater body of evidence surrounding a topic.

Find and read related medical articles and papers on metajournal

Metajournal goes a step further than PubMed's suggestions of related articles, by not just considering the similarity of titles and abstracts, but by also leveraging the machine learning of the metajournal Collective Intelligence Engine to consider article significance, relevance and quality.

For nice examples of Related Articles in action, have a look at the SAFE study (NEJM 2004) and the B-Aware trial (Lancet 2004) – where the suggested 'related articles' include both interesting papers and more recent studies that may otherwise not be seen.

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