While there is some degree of truth in this position, I have a two-part response. First, search engines such as Google Scholar or DeepDyve, as powerful as they are, still tend to be blunt instruments when it comes to matching interested readers to the right papers. When a search provides me with a thousand hits in 0.13 seconds, I am often forced to manually filter results. And my first filter is, I think, quite common: Has the paper been published in a journal I recognize, one that I have already judged by reputation or past personal experience? With a few exceptions (famous journals like Nature or Physical Review), I know nothing about the impact factors of the journals I read. Instead, I know something about whether past pursuits of specific topics have profitably led me to those journals. For some topics, I may even go straight to the specialty journal first to do the search, knowing that my productive hit rate there is likely to be much higher than a general search.