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顶级期刊成为众矢之的 精选

已有 7590 次阅读 2013-12-31 08:56 |个人分类:科学感想|系统分类:博客资讯

    几年前在《经济学人》杂志上有一篇文章《科学期刊:发表与错误》(Scientific journals: Publish and be wrong | The Economist)。该文利用经济学原理如“winner's curse”(赢者诅咒)、“oligopoly”(求过于供)、“artificial scarcities”(人为的稀缺性)分析了顶级期刊发表论文的情况。许多论文都投往顶级期刊并希望发表,产生求过于供,再加上顶级期刊也期望过高,一般的、精确的结果不易发表,而夸张的、轰动性的结果才有可能发表。还有倾向于发表阳性结果而不发表阴性结果。这种选择性容易使作者为满足期刊的要求而得出偏向性结果或解释。因而,很大一部分论文最终表明是不正确的。

     今天看到了更激进的说法:顶级期刊才是学术造假的罪魁祸首?()-搜狐滚动/顶级期刊才是学术造假的罪魁祸首?

       此前就有《英科学家称顶尖刊物是科学家的一种“瘾”—新闻—科学网》、《诺贝尔奖得主号召抵制《自然》《科学》等杂志_滚动读报_光明网》、《诺奖得主抨击《科学》《细胞》《自然》三大期刊》。

 

 

 

附:《科学期刊:发表与错误》

Scientific journals: Publish and be wrong | The Economist

http://www.economist.com/node/12376658

 

Publish and be wrong

 

One group of researchers thinks headline-grabbing scientific reports are the most likely to turn out to be wrong

   IN ECONOMIC theory the winner's curse refers to the idea that someone who places the winning bid in an auction may have paid too much. Consider, for example, bids to develop an oil field. Most of the offers are likely to cluster around the true value of the resource, so the highest bidder probably paid too much.

The same thing may be happening in scientific publishing, according to a new analysis. With so many scientific papers chasing so few pages in the most prestigious journals, the winners could be the ones most likely to oversell themselves—to trumpet dramatic or important results that later turn out to be false. This would produce a distorted picture of scientific knowledge, with less dramatic (but more accurate) results either relegated to obscure journals or left unpublished.

In Public Library of Science (PloS) Medicine, an online journal, John Ioannidis, an epidemiologist at Ioannina School of Medicine, Greece, and his colleagues, suggest that a variety of economic conditions, such as oligopolies, artificial scarcities and the winner's curse, may have analogies in scientific publishing.

Dr Ioannidis made a splash three years ago by arguing, quite convincingly, that most published scientific research is wrong. Now, along with Neal Young of the National Institutes of Health in Maryland and Omar Al-Ubaydli, an economist at George Mason University in Fairfax, Virginia, he suggests why.

It starts with the nuts and bolts of scientific publishing. Hundreds of thousands of scientific researchers are hired, promoted and funded according not only to how much work they produce, but also to where it gets published. For many, the ultimate accolade is to appear in a journal like Nature or Science. Such publications boast that they are very selective, turning down the vast majority of papers that are submitted to them.

Picking winners

The assumption is that, as a result, such journals publish only the best scientific work. But Dr Ioannidis and his colleagues argue that the reputations of the journals are pumped up by an artificial scarcity of the kind that keeps diamonds expensive. And such a scarcity, they suggest, can make it more likely that the leading journals will publish dramatic, but what may ultimately turn out to be incorrect, research.

Dr Ioannidis based his earlier argument about incorrect research partly on a study of 49 papers in leading journals that had been cited by more than 1,000 other scientists. They were, in other words, well-regarded research. But he found that, within only a few years, almost a third of the papers had been refuted by other studies. For the idea of the winner's curse to hold, papers published in less-well-known journals should be more reliable; but that has not yet been established.

The group's more general argument is that scientific research is so difficult—the sample sizes must be big and the analysis rigorous—that most research may end up being wrong. And the “hotter” the field, the greater the competition is and the more likely it is that published research in top journals could be wrong.

There also seems to be a bias towards publishing positive results. For instance, a study earlier this year found that among the studies submitted to America's Food and Drug Administration about the effectiveness of antidepressants, almost all of those with positive results were published, whereas very few of those with negative results were. But negative results are potentially just as informative as positive results, if not as exciting.

The researchers are not suggesting fraud, just that the way scientific publishing works makes it more likely that incorrect findings end up in print. They suggest that, as the marginal cost of publishing a lot more material is minimal on the internet, all research that meets a certain quality threshold should be published online. Preference might even be given to studies that show negative results or those with the highest quality of study methods and interpretation, regardless of the results.

It seems likely that the danger of a winner's curse does exist in scientific publishing. Yet it may also be that editors and referees are aware of this risk, and succeed in counteracting it. Even if they do not, with a world awash in new science the prestigious journals provide an informed filter. The question for Dr Ioannidis is that now his latest work has been accepted by a journal, is that reason to doubt it?

 



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