Evidence Finder (EvF) provides a new way of searching Europe PMC that will help you find the most relevant articles more quickly. By surfacing “facts” based on biological concepts, EvF enhances the Europe PMC search, targeting relevant sentences from within full text articles. Over the next few weeks, we will be running an experiment on the Europe PMC website that will incorporate EvF and explore how it is used.
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How EvF works on the Europe PMC website
When you search for a gene, protein, disease or metabolite in Europe PMC, a panel of questions relevant to the query will appear next to the search results (left: EvF questions generated in response to a search for malaria).
Clicking on a question will elicit a search for assertions related to that question from the full text content of articles in Europe PMC. Relevant sentences from the articles will be displayed right on the search results page so you can quickly assess the relevance of search results (below: EvF results in answer to the question “What causes malaria?).
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Try these examples to get started using EvF:
RAF1 | diabetes | COPD | bevacizumab | hypertension
“Evidence Finder pushes the limits of searching the scientific literature," says Jo McEntyre, head of Literature Services at EMBL-EBI. "There is so much information buried deep within research articles; we have to constantly invent better ways to capture and capitalise on these insights. Now, in the era of big data and open science, we can be more innovative than ever before."
Feedback
We are very interested in any feedback you would like to give us on your experiences using Evidence Finder, and would love to hear from you: please use the blue Feedback tab at the bottom of every Europe PMC page, post a comment on this blog entry, or email us at helpdesk@europepmc.org.
Furthermore, if you are a text or data miner who has developed an algorithm or application that adds value to the full text open access content, and would like to explore how to link up with Europe PMC, we would like to hear from you.
Stay in touch with what's happening at Europe PMC by following us on Twitter: @EuropePMC_News
How EvF works on the Europe PMC website
When you search for a gene, protein, disease or metabolite in Europe PMC, a panel of questions relevant to the query will appear next to the search results (left: EvF questions generated in response to a search for malaria).
Clicking on a question will elicit a search for assertions related to that question from the full text content of articles in Europe PMC. Relevant sentences from the articles will be displayed right on the search results page so you can quickly assess the relevance of search results (below: EvF results in answer to the question “What causes malaria?).
The Experiment
EvF is developed by NaCTeM, and has been available via theEurope PMC labs site since February 2012, for a six-week period (from 15th October 2014 to 26th November 2014), EvF questions will appear on the full text search results page of the main Europe PMC website. The goal of this experiment is to provide the opportunity for Europe PMC users to try EvF in the context of their normal searching. After this trial period, we will analyse the use of EvF, and if it is popular and useful, this functionality could be incorporated into the Europe PMC website.
EvF is developed by NaCTeM, and has been available via theEurope PMC labs site since February 2012, for a six-week period (from 15th October 2014 to 26th November 2014), EvF questions will appear on the full text search results page of the main Europe PMC website. The goal of this experiment is to provide the opportunity for Europe PMC users to try EvF in the context of their normal searching. After this trial period, we will analyse the use of EvF, and if it is popular and useful, this functionality could be incorporated into the Europe PMC website.
Try these examples to get started using EvF:
RAF1 | diabetes | COPD | bevacizumab | hypertension
“Evidence Finder pushes the limits of searching the scientific literature," says Jo McEntyre, head of Literature Services at EMBL-EBI. "There is so much information buried deep within research articles; we have to constantly invent better ways to capture and capitalise on these insights. Now, in the era of big data and open science, we can be more innovative than ever before."
Feedback
We are very interested in any feedback you would like to give us on your experiences using Evidence Finder, and would love to hear from you: please use the blue Feedback tab at the bottom of every Europe PMC page, post a comment on this blog entry, or email us at helpdesk@europepmc.org.
Furthermore, if you are a text or data miner who has developed an algorithm or application that adds value to the full text open access content, and would like to explore how to link up with Europe PMC, we would like to hear from you.
Further information about EvF can be found in the FAQ:
Stay in touch with what's happening at Europe PMC by following us on Twitter: @EuropePMC_News