Bibliometrix: dig out the one worth reading from thousands of papers!

When you come into contact with an unfamiliar field , We often quickly understand the current situation of this field by reading literature , however , In the face of massive literature , How to quickly locate must read classic literature ？

To solve this problem , This time I recommend one R Language tools ：bibliometrix,

• If you like to write code , Direct use bibliometrix package

• If you like interface operation , Please use bibliometrix Interface version of biblioshiny, The following details biblioshiny Use .

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bibliometrix install

install.packages("bibliometrix") # install 
library('bibliometrix') # Import 

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biblioshiny start-up

bibliometrix Installation directly includes biblioshiny, Directly in R Just start the terminal .

biblioshiny()

Directly open the following interface ,

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biblioshiny Use

Support PubMed,Web of Science,Google scholar Wait for the stored results of search engines bibtex

• Literature data import Introduce the method in detail 2, With covid-19 Retrieval as an example ,R The terminal displays the data download progress , It will take some time to download , A few minutes later , Data download complete ,  below , Take a brief look at the valuable information you can get from the data （ Because only 1000 An article , The following data may be distorted , Only when demonstrating ）：

• Data overall index statistics

• The publishing trend of relevant articles 2019 The new crown broke out in ,2021 Article blowout published .

• Which magazines contribute the most

• Which Daniel contributed the most achievements Detailed article link list

• Which institutions contribute the most I saw it CHINA～

• Most cited literature

• Which topics are concerned

• ** Topics are further clustered  **

• Various Network analysis This brief introduction ends here , Please refer to ：https://www.sciencedirect.com/science/article/abs/pii/S1751157717300500

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