Adam Ruben’s tongue-in-cheek column about the common difficulties and frustrations of reading a scientific paper broadly resonated among Science Careers readers. Many of you have come to us asking for more (and more serious) advice on how to make sense of the scientific literature, so we’ve asked a dozen scientists at different career stages and in a broad range of fields to tell us how they do it. Although it is clear that reading scientific papers becomes easier with experience, the stumbling blocks are real, and it is up to each scientist to identify and apply the techniques that work best for them. The responses have been edited for clarity and brevity.
Continuar leyendo el artículo en el original.
Más reciente y conciso es esta entrada que se resume en: ve a leer el trabajo sabiendo lo que buscas (es del blog de Stephen Downes, pero lo copio entero por su brevedad):
Although this article is specific to artificial intelligence (AI) papers, it has a broader application, and I find many of the principles apply to papers in other domains, including online learning. A paper is not like a novel you read from beginning to end. Different types of papers are read differently. For example, I will read a formal academic paper starting with the abstract, then decide to look at the literature review (if the area is new to me) or the discussion (if it's not). If the discussion offers interesting results, I'll look at the methodology. For a stream-of-consciousness blog post, by contrast, I'll often read from the bottom up, so I get the author's main point first, then work back through the chain of reasoning that brought them to it. The main point here is: know what you're looking for, and have a strategy for finding it in the paper (if it's there). Image:
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