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Simon Hunt |
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Dunn School of Pathology |
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Learn some guidelines to help you assess: |
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Scientific content of a primary research article |
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Style of presentation |
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Encourage reflection on the way you currently
read a paper |
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To change your habits to improve them |
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To read more efficiently and effectively |
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~ 300 references |
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2.5 years |
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a 10 papers per month |
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Plus all those papers that don’t make it! |
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To check basis of your own project |
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Reliability of assumptions |
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Especially those critical to the logic of your
design |
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Monitoring and comparing other approaches |
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Sensor for possibly being scooped |
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Assessing own lab’s approach |
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To study important claims in related fields |
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Technical or theoretical developments |
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To enable mature discussion with others |
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Develop your original viewpoint |
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For inspiration to write well |
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And what to avoid |
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Primary research reports |
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Secondary Literature |
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Summary overviews |
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News&Views, MiniReviews, Cutting Edge |
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Review |
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Metadata analysis |
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(Tertiary) |
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(textbooks) |
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Test against purposes of reading |
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See Levels of Engagement |
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See Why Read in Depth |
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Use of Bibliographic tools |
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Citation indexing |
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Treat big-name authors the same as little-name
or no-name authors |
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What question is being asked? |
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How clearly stated? |
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Sharply focussed? |
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Is it important? |
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Will it make an advance whichever answer is got? |
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Is it original? |
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What have others suggested as answers? |
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How does study design address the Q? |
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Is it a direct or an indirect approach? |
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If methodology were not limiting, what would be
the best way? |
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Is it compatible with what really happens
biologically in the cell/ the animal/ the bug…
(“in vivo” versus “in
plastico” versus “in silico”) |
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A formal set of rules for forming and testing
hypotheses |
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Usually employed loosely and often unconsciously |
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Devise the good Q |
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Observe closely |
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For the unexpected as well as the anticipated |
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Create an explanatory model |
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That can be helpfully predictive |
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From Greek – “Foundation, Base” |
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“Hypo” – not yet fully developed |
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“Thesis” – a placing |
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[what is a Hyperthesis?? Perhaps you could write one??] |
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An informed guess about the way a process might
work |
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Predictive |
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Needs logic, prior knowledge, insight,
creativity |
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It can be disproved, never proved (Popper) |
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Read “Pluto’s Republic”, Medawar, PB (1984) |
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“The Logic of Scientific Discovery” – Popper, KR
(1977) |
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Must include controls |
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A system of statements and ideas that explains a
group of related facts or phenomena |
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A set of interconnected hypotheses that |
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Have withstood rigorous exptl testing |
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Consistently resist scientists’ attempts to
disprove them |
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Is no longer “half-baked” |
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Seeks to confirm hypothesis by supplying an
additional example |
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Non-Popperian |
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Uses absence of evidence as evidence of absence |
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Accepts correlation as causation |
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If mutant lacks a normal function, accepts that
wild-type provides that function |
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Deletion approach should be complemented by test
of adding-back wild-type |
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Versions of the expt where everything is the
same except for the single variable that is under test |
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“Negative”: omit/inactivate/vary test material |
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“Positive”: ensure assay system is working
properly, so that lack of activity of test material is interpretable |
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“Restorative”: reconstitution of diminished/zero
activity by re-supplying normal material |
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Is it a big effect? |
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“Signal:Noise” ratio |
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Do they quantify the variance associated with
the observations? |
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Error bars |
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Number of repetitions |
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May be statistically significant, but is the
effect of marginal magnitude? |
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Internally self-consistent? |
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Do different figures in the paper show same
effect? |
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Is the data selective? |
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Is M&M detailed enough to permit replication
of expt? |
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By others “skilled in the art”? |
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Is the original Q answered? |
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What assumptions did the authors make? |
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Explicit.
Are these reasonable? |
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Not stated.
Are these reasonable? |
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Would you have made the same interpretation from
those data? |
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What remains unanswered? |
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Are there interesting new Qs raised? |
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Get the gist, from Title and Abstract |
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Carefully read for, and Identify, the Question Q |
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Understand but do not accept what the authors
consider the Answer to be |
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Use the Introduction only if necessary |
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It will be strongly biassed |
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Identify the key data Table/Figure that supplies
the answer |
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Understand enough methodology to see how the
data were obtained |
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Carefully read, for controls and reproducibility |
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Seek data that support, extend or qualify |
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Scrutinise other Figures or Tables |
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Throughout, make your own annotations |
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Probably on a printout/Xerox copy |
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Distinguish your own “Brain-On” ideas/comments
(e.g. put “ME” in front of them) from notes on the authors’ text (“THEY”) |
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Do not merely use highlighter alone |
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Encourages “Brain-Off” technique |
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Compare your interpretation with the authors’ |
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Read Discussion |
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Carefully read for the Design |
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Carefully read for Conclusion |
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How far does it resolve the Q that was posed? |
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How far do you accept it? |
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Make your own interpretation |
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Minimise assumptions and dependence on other
models or hypotheses – try to interpret it stand-alone |
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Gizmo merchants |
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Spin doctors |
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Temptresses |
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Get stuck in! |
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Skim, yes, but also Immerse sometimes |
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Be ready to sweat and fret as you interpret! |
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Then you must be doing the right thing |
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Victoria E McMillan, “Writing Papers in the
Biological Sciences”. 2nd ed. Bedford Books, 1997. |
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Robert A Day, “How to Write and Publish a
Scientific Paper” 5th ed. Oryx Press, 1998 |
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Jan Pechenik and Bernard Lamb, “How to write
about Biology”, Longman, 1994 |
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http://research.biology.arizona.edu/mosquito/willott/proj/Survive/paper.html |
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http://online.sfsu.edu/~jareyes/physlab/labreport.html |
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http://www.psb.ox.ac.uk/prclinks.htm |
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http://www.biochem.arizona.edu/classes/bioc568/papers.htm |
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http://www.hbcollege.com/student/scipaper1.html |
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