Research groups: How big should they be?

Research groups: How big should they be?
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DOI:
10.7717/peerj.989
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发表时间:
2015
期刊:
影响因子:
2.7
通讯作者:
Eyre-Walker A
Eyre-Walker A
中科院分区:
生物学3区
文献类型:
--
作者:
Cook I;Grange S;Eyre-Walker A

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了解科学生产力和研究群体规模之间的关系对于决定如何资助科学研究非常重要。我们已经调查了这些变量之间的关系,在英国的生命科学中使用的数据来自398个主要研究者(PI)。我们发现,生产力的三个指标,出版物的数量,论文发表的期刊的影响因子和引用的数量,都与组的大小呈正相关,尽管它们都显示出回报递减的模式,加倍组的大小导致生产力不到一倍。影响因子与被引次数之间的关系非常微弱。我们的分析表明,生产力的提高将通过资助更多的PI与小型研究小组来实现,除非雇用博士后和博士生的成本低于PI的成本的20%。我们还提供了证据表明,博士后比博士生更富有成效,无论是在他们产生的论文数量和这些论文发表的地方。
Understanding the relationship between scientific productivity and research group size is important for deciding how science should be funded. We have investigated the relationship between these variables in the life sciences in the United Kingdom using data from 398 principle investigators (PIs). We show that three measures of productivity, the number of publications, the impact factor of the journals in which papers are published and the number of citations, are all positively correlated to group size, although they all show a pattern of diminishing returns—doubling group size leads to less than a doubling in productivity. The relationships for the impact factor and the number of citations are extremely weak. Our analyses suggest that an increase in productivity will be achieved by funding more PIs with small research groups, unless the cost of employing post-docs and PhD students is less than 20% the cost of a PI. We also provide evidence that post-docs are more productive than PhD students both in terms of the number of papers they produce and where those papers are published.
DOI: 10.1007/bf02017438
发表时间: 1981-01-01
期刊: SCIENTOMETRICS
影响因子: 3.9
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