A researcher has retracted a paper from Diabetes after re-using some Western blots in one of the figures from other papers.
According to the retraction notice, the first and corresponding author — Eric Berglund, formerly at Vanderbilt University in Nashville, Tennessee — contacted the journal himself to report the error, for which he takes full responsibility.
Here’s the retraction notice: Continue reading Author pulls Diabetes paper with duplicated Western blots
A technical glitch prevented another story from reaching our email subscribers earlier today, so in case you missed it:
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We get email glitches from time to time, and some alerts don’t go out to readers. In cased you missed them, here are two posts from this week that didn’t make it into your inbox:
Like Retraction Watch? Consider making a tax-deductible contribution to support our growth. You can also follow us on Twitter, like us on Facebook, add us to your RSS reader, sign up on our homepage for an email every time there’s a new post, or subscribe to our daily digest. Click here to review our Comments Policy. For a sneak peek at what we’re working on, click here.
Our email alert acted up again this morning, so some readers may have missed the first post of the day, about a controversial topic: e-cigarettes.
Click here to read “A paper on chemical safety was accepted one day after submission. Was it peer reviewed?”
Like Retraction Watch? Consider making a tax-deductible contribution to support our growth. You can also follow us on Twitter, like us on Facebook, add us to your RSS reader, sign up on our homepage for an email every time there’s a new post, or subscribe to our daily digest. Click here to review our Comments Policy. For a sneak peek at what we’re working on, click here.
The week at Retraction Watch featured a look at where retractions for fake peer review come from, and an eyebrow-raising plan that has a journal charging would-be whistleblowers a fee. Here’s what was happening elsewhere: Continue reading Weekend reads: Data sharing fees block access; Machiavellianism and gossip in science; “power pose” redux
Authors of a 2016 cancer paper have retracted it after finding an error in one line of code in the program used to calculate some of the results. Reposting as our subscription software appears to be acting up again. Read the whole post here.
The week at Retraction Watch featured news of a fine for a doctor who took part in a controversial fake trial, and a likely unprecedented call for retraction by the U.S. FDA commissioner. Here’s what was happening elsewhere: Continue reading Weekend reads: World’s most prolific peer reviewer; replication backlash carries on; controversial PACE study re-analyzed
A journal has removed a paper after realizing it contained a verbatim quote from a patient that could reveal the patient’s identity. Reposting as our subscription software appears to be acting up again. Read the whole post here.
Reposting this as our email alerts seem to be down again. Read full post here.
John Ioannidis, a professor at Stanford University and one of the most highly cited researchers in the world, has come up with some startling figures about meta-analyses. His new paper, published today in Milbank Quarterly (accompanied by this commentary), suggests that the number of systematic reviews and meta-analyses in literature have each increased by more than 2500% since 1991. We asked Ioannidis — who is perhaps most well known for his 2005 paper “Why Most Published Research Findings Are False” (and was featured in a previous Retraction Watch Q&A article) — why such a massive boost these publication types in scholarly literature is potentially harmful.
Retraction Watch: You say that the numbers of systematic reviews and meta-analyses have reached “epidemic proportions,” and that there is currently a “massive production of unnecessary, misleading, and conflicted systematic reviews and meta-analyses.” Indeed, you note the number of each has risen more than 2500% since 1991, often with more than 20 meta-analyses on the same topic. Why the massive increase, and why is it a problem? Continue reading We have an epidemic of deeply flawed meta-analyses, says John Ioannidis