This looks like a fantastic visualisation tool – but one that should prove useful as a research tool.
The Brain Systems, Connections, Associations, and Network Relationships (a phrase with more words than strictly necessary in order to bootstrap a good acronym) assumes that somewhere in all the chaos and noise of the more than 20 million papers on PubMed, there must be some order and rationality.
To that end, we have created a dictionary of hundreds of brain region names, cognitive and behavioral functions, and diseases (and their synonyms!) to find how often any two phrases co-occur in the scientific literature. We assume that the more often two terms occur together (at the exclusion of those words by themselves, without each other), the more likely they are to be associated.
Are there problems with this assumption? Yes, but we think you’ll like the results anyway. Obviously the database is limited to the words and phrases with which we have populated it. We also assume that when words co-occur in a paper, that relationship is a positive one (i.e., brain areas A and B are connected, as opposed to not connected). Luckily, there is a positive publication bias in the peer-reviewed biomedical sciences that we can leverage to our benefit (hooray biases)! Furthermore, we cannot dissociate English homographs; thus, a search for the phrase “rhythm” (to ascertain the brain regions associated with musical rhythm) gives the strongest association with the suprachiasmatic nucleus (that is, for circadian rhythms!)
Despite these limitations, we believe we have created a powerful visualization tool that will speed research and education, and hopefully allow for the discovery of new, previously unforeseen connections between brain, behavior, and disease.
H/T: Marsha Lucas
From The Scientist: ‘The astonishing secret to getting jobs, grants, papers, and happiness in biomedical research’
From the latest Federation of European Neuroscience Societies (FENS) Newsletter – an article from PNAS on ‘The Boon and Bane of the Impact Factor’ (and abuse of the drug ‘Sciagra’)
A very hard-hitting piece on the abuses of impact factors and their pernicious effects on how science is done. Sten Grillner is a Kavli Prize winner who recently gave a lecture at Trinity College Institute of Neuroscience. It is worth musing on whether or not the widespread use and abuse of impact factors is science’s very own special version of grade inflation.
From FENS: The editorial “Impacting our Young” by Eve Marder (Past President of the American Society for Neuroscience), Helmut Kettenmann (Past President of FENS) and Sten Grillner (President of FENS) has been published in the most recent issue of PNAS (PNAS 2010 107 (50) 21233).
It is our contention that overreliance on the impact factor is a corrupting force on our young scientists (and also on more senior scientists) and that we would be well-served to divest ourselves of its influence.
The hypocrisy inherent in choosing a journal because of its impact factor, rather than the science it publishes,undermines the ideals by which science should be done.
And their advice:
Minimally, we must forego using impact factors as a proxy for excellence and replace them with indepth analyses of the science produced by candidates for positions and grants. This requires more time and effort from senior scientists and cooperation from international communities, because not every country has the necessary expertise in all areas of science.
What is it? Sciagra™ is a psychologically self-administered drug that acts on grammar and vocabulary in scientific papers with the aim of improving performance, or at least convincing the user that it does.
How widespread is its use? It’s almost impossible to avoid in impact factor zones above 8. Some disciplines even have their own compounds. Psyagra™ and Genagra™ are particularly dangerous new ‘society’ versions, especially potent and unfortunately accessible to journalists who have to write “It’s the Brain wot does it!” or “Scientists produce creature that is half human, half grant reviewer” stories to tight deadlines.
How do I recognise its use by others? The symptoms are easy to spot. A user will always tell you the impact factor of the journal rather than what the paper is about. They will display an intensity unrelated to the importance of the finding and an inability to cite anything published before 1999. They frequently meet rejection of a paper with a complaint to the editor, and seasoned users may even make unsolicited phone calls to editors to make their complaint.
It seems to be available on open access.
The graphics are fantastic, and the plan itself is short and sweet.
Our animating ethos rests on the belief that major and fundamental research problems are best solved by combining research strengths across disciplines and levels of analysis.
Combining our strengths in this way will allow us to deliver major scientific discoveries of great consequence for human health, welfare and knowledge.
Table of Contents:
- Why Explore the Brain? [Our short, simple answer: ‘Understanding the structure and functions of our brains brings us a good way along the path of understanding ourselves as humans. Progress in understanding the nervous system materially benefits human health, welfare and knowledge.‘]
- Trinity College Institute of Neuroscience Mission
- Transformative Neuroscience
- Trinity College Institute of Neuroscience Today
- Trinity College Institute of Neuroscience Tomorrow
- Research Focus 1: Synapses, Cognition and Behaviour
- Research Focus 2: Neuropsychiatry and Neurodevelopmental Disorders
- Research Focus 3: Neurodegeneration, Neuroprotection and Neuroplasticity
- Platform Technologies: Imaging and Neural Engineering
- Contribution to Society and Outreach
- Future Opportunities
- Measuring Impact: Hard and Soft Metrics
- Final Thoughts
A non-ranking ranking system for Graduate education in the USA.
Graduate programmes are assessed and measured, but stale data could reduce impact of long-awaited report.
Which US chemistry department is the biggest? As of autumn 2005, the University of California, Berkeley, had a whopping 406 graduate students. That must be some departmental picnic. Which ecology programme takes the longest? The median time to complete a PhD degree in the ecology and evolutionary biology department at Tulane University in Louisiana is 8.5 years. Which genetics programme has the highest average number of citations per faculty publication? The Massachusetts Institute of Technology in Cambridge dominates, with a knockout 10.08. Which physics programme is the best? A new report that supplies all of the other answers doesn’t make the call.
Released on 28 September, the long-awaited National Academies study on US PhD programmes, A Data-Based Assessment of Research-Doctorate Programs in the United States (see go.nature.com/tqvokc), is notable for not ranking programmes in 1-2-3 order. But it aims to offer comparisons that are detailed enough both to help students determine where to apply and to help job-seekers judge offers. The findings could also guide spending by administrators at a state or school level — whether by lavishing funds on standout programmes or by spending money to improve less-successful ones.
More at the NAS and the rest of this report via the link at top.
Another take on the whole artificial/synthetic life story.