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Do citations and impact factors relate to the real numbers in publications? A case study of citation rates impact and effect sizes in ecology and evolutionary biology

机译:引用和影响因素是否与出版物中的实际数字相关?生态和进化生物学中引用率影响和效应大小的案例研究

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摘要

Metrics of success or impact in academia may do more harm than good. To explore the value of citations, the reported efficacy of treatments in ecology and evolution from close to 1,500 publications was examined. If citation behavior is rationale, i.e. studies that successfully applied a treatment and detected greater biological effects are cited more frequently, then we predict that larger effect sizes increases study relative citation rates. This prediction was not supported. Citations are likely thus a poor proxy for the quantitative merit of a given treatment in ecology and evolutionary biology—unlike evidence-based medicine wherein the success of a drug or treatment on human health is one of the critical attributes. Impact factor of the journal is a broader metric, as one would expect, but it also unrelated to the mean effect sizes for the respective populations of publications. The interpretation by the authors of the treatment effects within each study differed depending on whether the hypothesis was supported or rejected. Significantly larger effect sizes were associated with rejection of a hypothesis. This suggests that only the most rigorous studies reporting negative results are published or that authors set a higher burden of proof in rejecting a hypothesis. The former is likely true to a major extent since only 29 % of the studies rejected the hypotheses tested. These findings indicate that the use of citations to identify important papers in this specific discipline—at least in terms of designing a new experiment or contrasting treatments—is of limited value.
机译:在学术界取得成功或产生影响的衡量标准弊大于利。为了探索引文的价值,研究了近1,500种出版物对生态和进化方面的报道的疗效。如果引用行为是合理的,即成功引用某项治疗并发现更大生物学效应的研究被更频繁地引用,那么我们预测更大的效应值会增加研究的相对引用率。不支持此预测。因此,与基于证据的医学不同,在生态学和进化生物学中,给定治疗的定量价值可能无法很好地被引用-与循证医学不同,在循证医学中,药物或治疗对人类健康的成功是关键属性之一。正如人们所期望的那样,该期刊的影响因子是一个更广泛的指标,但它与各个出版物群体的平均影响大小无关。作者对每个研究中的治疗效果的解释不同,取决于是否支持该假设。显着更大的效应大小与拒绝假设有关。这表明,只有最严格的报告阴性结果的研究才被发表,或者作者拒绝该假设的举证责任更高。前者在很大程度上可能是正确的,因为只有29%的研究拒绝了所检验的假设。这些发现表明,至少在设计新实验或对比疗法方面,使用引文来识别该特定学科的重要论文的价值有限。

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