Well, it is leading the way to open access science and a 3.2 impact factor isn't shameful. PLOS Biology is probably a more respected outlet but regardless, I think the legitimacy of PLOS will be much more widely questioned hereafter.
3.2 impact factor is pretty bad, PLOS Biology and PLOS Pathogens are pretty good as far as impact factor and what gets published in them. PLOS one really is hit or miss, a lot of time if you don't have a complete story but still good data you can get it into PLOS One. There are some papers in PLOS One that are some of the most cited papers out there simply for the fact something was stumbled upon, its impact was unknown, and when someone finally puts something groundbreaking together turns out the original finding is buried in some shitty PLOS One ramblings.
It is definitely different in biomedical research. Many schools have a policy that articles published in a journal with an impact factor under 4 at the time of publication do not count for consideration of promotion/tenure. Whether that is a good policy or a fair metric is up for debate but in biomedical research any truly well done study should be published at or above that level.You must be in the biomedical field or something, because in ecology, 3.2 is pretty good. Ecology, the top long form, full research article journal in the field, has a 5.1 ipf, so 3.2 is not too bad, for a guy like me.
Perfect topic for this thread.It is definitely different in biomedical research. Many schools have a policy that articles published in a journal with an impact factor under 4 at the time of publication do not count for consideration of promotion/tenure. Whether that is a good policy or a fair metric is up for debate but in biomedical research any truly well done study should be published at or above that level.
Cutting edge work from an impact 5 journal!
http://phg.sagepub.com/content/early/2016/01/08/0309132515623368.abstract
Glaciers, gender, and science
A feminist glaciology framework for global environmental change research
Glaciers are key icons of climate change and global environmental change. However, the relationships among gender, science, and glaciers – particularly related to epistemological questions about the production of glaciological knowledge – remain understudied. This paper thus proposes a feminist glaciology framework with four key components: 1) knowledge producers; (2) gendered science and knowledge; (3) systems of scientific domination; and (4) alternative representations of glaciers. Merging feminist postcolonial science studies and feminist political ecology, the feminist glaciology framework generates robust analysis of gender, power, and epistemologies in dynamic social-ecological systems, thereby leading to more just and equitable science and human-ice interactions.
“By some estimates,” notes an article in Quartz, “at least 51% — and as much as 89% — of published papers are based on studies and experiments showing results that cannot be reproduced.”
The Quartz article says one reason is a bias in scientific journals to produce “exciting studies that show strong results.”
How science is sometimes wrong
http://www.investors.com/politics/capital-hill/is-it-time-for-climate-scientists-to-eat-radishes/
Eggs contain an essential nutrient, choline, which helps with brain function by maintaining cell membrane structure. Two eggs contain 250mg of choline, with the recommended intake being 550mg/day for men and 425mg/day for women. Pregnant women should pay special attention to choline consumption, as choline contributes to fetal brain development.
and like all others people, scientists act out of their own self interests.
You apparently didn't go to the original Slate article. It was a huge study at over 24 locations...nothing. If the effect was real and "established fact", it would have shown up when people at 24 locations were trying to see the effect.That is a poor article. The premise is that a theory that has been tested hundreds of times is wrong because of one YUGE study that didn't get the same findings.
It doesn't debunk the prior results per se, but it could certainly debunk any certainty of conclusions made from those studies.......absolutely. That's how science works.Why would 24 locations debunk hundreds of prior attempts?