Google Scholar Button
Lookup scholarly articles as you browse the web.
Show links to existing PubPeer comments
按已采集快照查看用户数变化。
展示最近 7 日窗口内已采集的评分快照,辅助判断近期评分是否稳定。
同口径展示 1 天、7 天、30 天的绝对增长与增长率。
查看发布时间、版本、支持语言、最近更新和抓取时间。
查看插件说明、主要功能和适用场景。
This plugin indicates PubPeer comments wherever they appear. A lightweight plugin to install and forget about. You will only notice that the plugin exists when it alerts you that an article has comments on PubPeer.
*No affiliation with the PubMed nor any journals.
查看最近评论和评分分布。
商店综合星级:3.7。下方星级分布只统计已同步评论正文;如果某个插件只有公开分数、没有真实评论正文,这里可能为空。
查看 Chrome 商店详情页中的相关产品。
Lookup scholarly articles as you browse the web.
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There are a lot of bugs
Great extension and service - just bear in mind you need to use your skills as a scientist to determine the credibility of comments and how much the influence the findings. It's a good resource for starting discussion, but don't uncritically discard studies that draw debate
Useful extension, highly recommend. The 1* reviews have some obvious biases. Any author has the chance to respond to comments related to their paper. Instead, some choose to come here and rate the extension poorly. That doesn't feel like an effort to sustain a fair scientific discussion. I'm experiencing some issues with the PubPeer bar display. When I close the bar, an annoying blank line stays in its place and the whole page is still shifted down. As Tomas Fiers suggested, the developers might want to consider another visual indication of an existing comment.
useful extension. as others have said, run the names of the 1 star reviews through it, as they seem to be scorned by the service more than anything.
This website has become a breeding ground for bias and jealousy. I firmly disagree with the use of pseudonyms on PubPeer, particularly when individuals make comments on academic papers. This conduct erodes trust and should not be condoned. Rather, we should promote the utilization of official university or institutional email addresses, along with the researcher’s complete name and affiliated organization, to foster transparency and responsibility. Constructive and transparent criticism is beneficial when it includes the critic's real name and academic email address.
Once individuals present themselves as a known entity, I trust that they pose genuine, scientifically relevant questions. Otherwise, it appears as an attempt to undermine others cowardly and unscientifically. Open discussion of published studies and data interpretation is beneficial, but comments should be peer-reviewed and articulated scientifically to address specific concerns. I am more than happy to address questions from individuals who identify themselves, allowing me to gauge their professional background, work quality, and ethical conduct. Engaging with an AI and being confined to a questioning box feels unfair. Transparency and mutual respect are key in these interactions.
-1/2: Glitchy - e.g. says there's a note on PMID 33057181, but doesn't display one. -1/2: Shadowbans some comments. (Censors them from view, except to the author) It's informative to look up the people who put up 1-star votes in PubPeer, e.g. AKP brings up TWO RETRACTED articles; their PubMed IDs are 30685132 and 23069613.
I strongly disagree with the practice of using a fictitious name on PubPeer, particularly when it is associated with an author who comments on scientific articles. This behavior is cowardly and should not be encouraged. Instead, it is important to promote the use of official university or organizational email addresses, along with the full name and affiliation of the researcher, to ensure transparency and accountability.
The idea of open discussion of published studies is good, but the comments need to be peer-reviewed and describe the concerns in a scientific manner. Further, there is no reason to use pseudonyms. If the plan is to question data or interpretation, it should be done openly.
This is really valuable project, huge respect for the people behind it. The usability of the extension could of course be better, like all of the internet. This is an open source project and people interested about the transparency of the science can contribute by donating the project money or their expertise.