Managing your research the modern way: Research together with colleagues using an activity feed

This post is the third post in a series of posts designed to introduce you to the new information organization, discovery, and retrieval concepts in Mendeley. In part 1 we discussed tags and filters and in part 2 we discussed the idea of search as an interface to your research. Today I’d like to talk a little about another feature that has become common to information organization and discovery tools – the activity feed.

The benefits of online research are obviousRead More »

Introducing the Mendeley catalog search engine

Last Fall, we wrote about finding what is relevant to your research. We have a long way to go until we reach even half of our goals in helping you discover great content, but we are one tiny step closer as of today.

Today we launched a catalog search engine on the Mendeley Website. Moreover, we already have an advanced search that will be released in two weeks building on top of what you can use starting today. You can start using the basic search by going to the Research papers page.

What is different about Mendeley search compared to other literature search engines?
Two things standout: 1) Diversity of the literature and 2) ReaderRank

Diversity of the literature
Because Mendeley encompasses a broad range of academic disciplines, we have enormous diversity in our data set to draw results from. This is great, but also a challenge. The challenge comes from delivering results that are relevant to you and avoiding ambiguity with other disciplines. This WILL improve as we make tweaks and personalize the search experience. What’s great about this diversity though, is that inter-disciplinary content will surface if it is relevant.

ReaderRank
Relevant content is the strongest factor in the results you receive, but we wanted to take advantage of the knowledge of the crowds as well. With that in mind, we have developed an algorithm called ‘ReaderRank’ that will adjust results based on the level of readership for an article. This doesn’t mean the most read articles will always appear at the top, only that it is an additional measure in ranking your results. We have also taken care to prevent artificial enhancement of the results, i.e. gaming the readership. Over time, we hope to refine this algorithm by taking into account other measures of quality such as the reputation of who you trust and follow on Mendeley.

Once again, we will release an advanced search in two weeks that will let you refine search queries. We also want to encourage feedback. So, if you have any thoughts about the quality of results or what you might like to see in terms of search features, please let us know by going to our feedback forum.

Jason Hoyt, PhD | Research Director

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