为什么Altmetric分数不应该用来衡量科学出版物的价值(或者“如何通过推特获得荣誉和荣耀”)

IF 0.2 Q4 EVOLUTIONARY BIOLOGY Ideas in Ecology and Evolution Pub Date : 2016-05-09 DOI:10.4033/IEE.2016.9.1.E
D. Wardle
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Although the Altmetric company’s website cautions that one should not read too much into these scores without digging ‘deeper into the numbers and looking at the qualitative data underneath’, it also emphasizes that ‘Altmetrics are becoming widely used in academia, by individuals (as evidence of influence for promotion and tenure and in applying for grants), institutions (for benchmarking a university’s overall performance)’, and that the Altmetric badges (showcasing the scores) ‘provide a quick and easy way of showcasing the value of your publishing program to internal and external stakeholders, such as funding institutions and editorial boards’. Indeed, increasing numbers of researchers are making use of the Altmetric scores of their work in their CVs and applications for jobs and tenure, at least when they reflect favourably on the author. If Altmetric scores are to be used as a reliable indicator of the merit of a scientific publication, then it is critical that they cannot be gamed, and that they are entirely independent of the actions of the author postpublication. To test if this is the case, I conducted a simple analysis on the first 100 papers published in the journal Ecology in 2015. For each paper I noted the Altmetric score presented alongside the paper’s abstract. Because Altmetric scores for most papers are determined in large part by how many Twitter users ‘tweeted’ about the paper, I then examined the tweets for that paper and recorded whether or not the paper had been tweeted about by its own authors, i.e., from a Twitter account that the author has primary control over (such as their personal Twitter account, or lab-group Twitter account). This analysis reveals that publications which were tweeted about by their own authors had Altmetric scores of 3.3 times greater than did the others when mean values were considered, or 4.0 times greater when median values were used (Table 1). There are two possible explanations for this outcome. The first is that through tweeting about their own work, the authors generated publicity for it that greatly elevated its Altmetric score. While it is noted on the Altmetric website that they ‘count one person as only one source’, each of the author’s ‘followers’ (who are obviously likely to be favourably inclined to the author) that re-tweet the author’s tweet, as well as the followers’ followers, are presumably all regarded as independent sources. This suggests that authors that tweet about their own work will greatly elevate their Altmetric scores simply on the basis of re-tweets especially if they have lots of loyal followers. 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Although the Altmetric company’s website cautions that one should not read too much into these scores without digging ‘deeper into the numbers and looking at the qualitative data underneath’, it also emphasizes that ‘Altmetrics are becoming widely used in academia, by individuals (as evidence of influence for promotion and tenure and in applying for grants), institutions (for benchmarking a university’s overall performance)’, and that the Altmetric badges (showcasing the scores) ‘provide a quick and easy way of showcasing the value of your publishing program to internal and external stakeholders, such as funding institutions and editorial boards’. Indeed, increasing numbers of researchers are making use of the Altmetric scores of their work in their CVs and applications for jobs and tenure, at least when they reflect favourably on the author. 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引用次数: 2

摘要

由于期刊影响因子被广泛认为是评估科学论文价值的一种有严重缺陷的方法(Seglen 1997),并且由于需要一段时间才能知道一篇科学论文将被引用得多好,因此需要在论文发表后迅速量化其影响的指标。最近一个突出的发展是“另类度量”,它利用了通过社交媒体传播的作品。“Altmetric”公司提供了一个文章等级评分,用一个彩色徽章显示,量化了文章被各种社交媒体和其他媒体(包括Twitter、Facebook和博客)转载的程度。在大多数主要的生态学期刊上发表的每一篇论文的摘要中,这个分数都放在显眼的位置。尽管Altmetric公司的网站警告说,在没有“更深入地研究数字和下面的定性数据”的情况下,人们不应该过度解读这些分数,但它也强调,“Altmetric正在被学术界、个人(作为晋升和终身职位以及申请资助的影响力的证据)、机构(作为衡量大学整体表现的基准)广泛使用。”Altmetric徽章(显示分数)“提供了一种快速简便的方式,向内部和外部利益相关者(如资助机构和编辑委员会)展示你的出版项目的价值”。事实上,越来越多的研究人员在他们的简历、工作申请和终身职位中使用Altmetric对他们工作的评分,至少在这些评分对作者有利时是这样。如果Altmetric评分被用作科学出版物价值的可靠指标,那么至关重要的是,它们不能被玩弄,并且它们完全独立于作者发表后的行为。为了验证这一点,我对2015年发表在《生态学》杂志上的前100篇论文进行了简单的分析。对于每篇论文,我都会在论文摘要旁边标注Altmetric分数。因为大多数论文的Altmetric分数在很大程度上取决于有多少Twitter用户“推特”了这篇论文,所以我随后检查了这篇论文的推特,并记录了这篇论文是否由其自己的作者推特,即作者拥有主要控制权的Twitter账户(如他们的个人Twitter账户,或实验室组Twitter账户)。该分析表明,当考虑平均值时,由自己的作者发布的出版物的Altmetric分数比其他出版物高3.3倍,或者当使用中位数时高4.0倍(表1)。对于这一结果有两种可能的解释。首先,通过在推特上发布自己的作品,作者们为自己的作品做了宣传,大大提高了它在Altmetric上的得分。虽然Altmetric网站上指出,他们“只把一个人算作一个消息来源”,但作者的每一个转发作者推文的“追随者”(很可能倾向于作者),以及这些追随者的追随者,大概都被视为独立的消息来源。这表明,那些在推特上发布自己作品的作者,仅凭转发量就能大大提高他们在Altmetric上的得分,尤其是如果他们有很多忠实粉丝的话。第二种可能的解释是,拥有Twitter账户并在Twitter上发布自己研究成果的作者,平均而言也是更好的研究人员,他们的工作更值得在Altmetric上获得高分。要做到这一点,就需要那些工作影响最大的科学家
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Why Altmetric scores should never be used to measure the merit of scientific publications (or 'how to tweet your way to honour and glory')
Because journal impact factors are widely recognized as a seriously flawed means of assessing the merit of a scientific paper (Seglen 1997), and because it takes time before it is known how well cited a scientific paper will become, there is a demand for metrics that can quantify a paper’s impact rapidly after publication. One prominent recent development is that of ‘altmetrics’ which capitalize on dissemination of the work via social media. The company ‘Altmetric’ provides an articlelevel score, presented within a multicoloured badge that quantifies the extent to which the work has been picked up by various social and other media outlets, including Twitter, Facebook and blogs. This score is placed prominently alongside the abstract of every paper published in the majority of the main ecological journals. Although the Altmetric company’s website cautions that one should not read too much into these scores without digging ‘deeper into the numbers and looking at the qualitative data underneath’, it also emphasizes that ‘Altmetrics are becoming widely used in academia, by individuals (as evidence of influence for promotion and tenure and in applying for grants), institutions (for benchmarking a university’s overall performance)’, and that the Altmetric badges (showcasing the scores) ‘provide a quick and easy way of showcasing the value of your publishing program to internal and external stakeholders, such as funding institutions and editorial boards’. Indeed, increasing numbers of researchers are making use of the Altmetric scores of their work in their CVs and applications for jobs and tenure, at least when they reflect favourably on the author. If Altmetric scores are to be used as a reliable indicator of the merit of a scientific publication, then it is critical that they cannot be gamed, and that they are entirely independent of the actions of the author postpublication. To test if this is the case, I conducted a simple analysis on the first 100 papers published in the journal Ecology in 2015. For each paper I noted the Altmetric score presented alongside the paper’s abstract. Because Altmetric scores for most papers are determined in large part by how many Twitter users ‘tweeted’ about the paper, I then examined the tweets for that paper and recorded whether or not the paper had been tweeted about by its own authors, i.e., from a Twitter account that the author has primary control over (such as their personal Twitter account, or lab-group Twitter account). This analysis reveals that publications which were tweeted about by their own authors had Altmetric scores of 3.3 times greater than did the others when mean values were considered, or 4.0 times greater when median values were used (Table 1). There are two possible explanations for this outcome. The first is that through tweeting about their own work, the authors generated publicity for it that greatly elevated its Altmetric score. While it is noted on the Altmetric website that they ‘count one person as only one source’, each of the author’s ‘followers’ (who are obviously likely to be favourably inclined to the author) that re-tweet the author’s tweet, as well as the followers’ followers, are presumably all regarded as independent sources. This suggests that authors that tweet about their own work will greatly elevate their Altmetric scores simply on the basis of re-tweets especially if they have lots of loyal followers. The second possible explanation is that authors who maintain a Twitter account and who tweet about their own work are also on average better researchers whose work is more worthy of high Altmetric scores. For this to hold, it requires that those scientists whose work has the greatest impact are
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来源期刊
Ideas in Ecology and Evolution
Ideas in Ecology and Evolution EVOLUTIONARY BIOLOGY-
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审稿时长
36 weeks
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