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Often, I begin my hunt for relevant articles on The Learning Network: the blog has already done part of the work by identifying articles that are interesting to teenagers!
Finally, Ensembli even had trouble identifying articles about itself.
We performed a systematic literature search identifying articles reporting original data on CGRP and non-headache pain.
The first phase consisted of identifying articles through a systematic search using relevant databases, including the US National Library of Medicine (PubMed), MEDLINE, and SportDiscus.
The first phase consisted of identifying articles through a systematic search using the US National Library of Medicine (PubMed), MEDLINE, and SportDiscus databases.
The authors show that predicting the exact popularity of news articles is prone to large errors (R2=0.34), but that predicting ranges of popularity is more effective, with an accuracy of 84% when identifying articles that would receive a small, medium, or large number of tweets.
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We also searched reference lists of identified articles and papers quoting identified articles.
MEDLINE and PubMed databases were searched to identify articles.
Article references were used to identify articles not located using the database search.
References from the identified articles were checked in order not to miss any relevant articles.
All identified articles were transferred to Reference Manager®, a bibliographic software program.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com