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Descriptive Statistics at Paper Level by Laureates and Non-Laureates.

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NIAID Data Ecosystem2026-03-08 收录
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https://figshare.com/articles/dataset/_Descriptive_Statistics_at_Paper_Level_by_Laureates_and_Non_Laureates_/1499949
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All differences are statistically significant at the P<0.05 level due to large sample size. Number of Authors is calculated after eliminating sole authored records reducing the sample size—Laureate N = 13,104; Non-L. N = 19,221. Nation data is missing for a large number of older papers—Laureates N = 9,165; Non-L. N = 13,076. The total number of international papers (2+) was divided by the total number of papers with country data available to calculate international percent. Descriptive Statistics at Paper Level by Laureates and Non-Laureates.

鉴于样本量充足,所有组间差异均达到P<0.05的统计学显著性水平。作者数量统计时已剔除独著文献记录,故此样本量有所缩减——获奖者(Laureate)组样本量N=13104;非获奖者(Non-Laureate)组样本量N=19221。大量早期文献缺失国家归属数据——获奖者组有效样本量N=9165;非获奖者组有效样本量N=13076。国际合作论文(作者来自至少2个国家,记为2+)的总数量除以拥有国家归属数据的论文总数,即可计算得到国际合作占比。 按获奖者与非获奖者分组的论文层面描述性统计结果。
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2015-07-31
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