The use of R in photosynthesis research
文献类型:期刊论文
作者 | Liu, Yasi; Wang, Xiangping; Fan, Dayong2; Lai, Jiangshan1,4 |
刊名 | FUNCTIONAL PLANT BIOLOGY
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出版日期 | 2021 |
关键词 | ape code data analyses lme4 multcomp nlme open-source plantecophys popularity R language R packages |
ISSN号 | 1445-4408 |
DOI | 10.1071/FP21102 |
文献子类 | Article |
英文摘要 | R is one of the most commonly used analytical tools in the plant sciences. To identify key trends in general reported R use and patterns in photosynthesis research, we explored the frequency of R use in 2966 articles published in the 377 journals with 'photosynthesis' in the title from 2010 to 2019 using the Web of Science search. Solutions provided by each R package cited in the articles or online sources was recorded and classified. The percentage of research articles reporting R use increased linearly from 3.6% in 2010 to 12.5% in 2019. The three main categories of R package solutions were 'general statistical calculations and graph packages' (G); 'photosynthesis special-purpose packages' (S); and 'genetic and evolutionary packages' (E). The top five R packages cited were nlme (G), lme4 (G), multcomp (G), plantecophys (S), and ape (E). The increasing popularity of R use in photosynthesis research is due to its user-friendly and abundant open-source codes online for handling specific issues, particularly in fitting photosynthesis models. These findings are limited by the number of articles and online sources, but they reveal a significant increase in usage in photosynthesis research over the past decade and have a bright prospect in the future. |
学科主题 | Plant Sciences |
出版地 | CLAYTON |
电子版国际标准刊号 | 1445-4416 |
WOS关键词 | STOMATAL CONDUCTANCE ; CHLOROPHYLL FLUORESCENCE ; CRITICAL-APPRAISAL ; GAS-EXCHANGE ; MODEL ; LEAVES ; PARAMETERS |
WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
语种 | 英语 |
WOS记录号 | WOS:000706419300001 |
出版者 | CSIRO PUBLISHING |
源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/26789] ![]() |
专题 | 植被与环境变化国家重点实验室 |
作者单位 | 1.Beijing Forestry Univ, Coll Forestry, Beijing 100083, Peoples R China 2.Beijing Forestry Univ, Sch Ecol & Nat Conservat, Beijing 100083, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Yasi,Wang, Xiangping,Fan, Dayong,et al. The use of R in photosynthesis research[J]. FUNCTIONAL PLANT BIOLOGY,2021. |
APA | Liu, Yasi,Wang, Xiangping,Fan, Dayong,&Lai, Jiangshan.(2021).The use of R in photosynthesis research.FUNCTIONAL PLANT BIOLOGY. |
MLA | Liu, Yasi,et al."The use of R in photosynthesis research".FUNCTIONAL PLANT BIOLOGY (2021). |
入库方式: OAI收割
来源:植物研究所
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