Conflicting biomedical assumptions for mathematical modeling: the case of cancer metastasis.
PLoS Comput Biol. 2011 Oct; 7(10):e1002132
This article PDF usually requires a subscription to access but you can receive the PDF, at no cost, through a special arrangement between Springer Science+Business Media and Faculty of 1000 for our Faculty Members who act as reviewers. This PDF is provided to you only for the purposes of reviewing the article while you consider preparing a recommendation of the article for F1000Prime. Other than for this purpose you warrant that you will treat the PDF as confidential. Furthermore you warrant that you will not use the PDF for any other purpose, especially but not limited to forwarding, copying, selling, distributing it whether commercially or non-commercially and that you will not make it available on any website for any other purpose.
We believe that we know what others have claimed to have discovered, and that any important developments affecting our research area will eventually become known to us. In an elegant and original manner, Divoli et al. demonstrate that those beliefs are not supported by the evidence.
Over a million new research articles are catalogued every year by Web of Science. A non-negligible fraction of those articles would be of potential relevance to the research interest of many life-sciences scientists. Clearly we are struggling with a Library of Babel-like problem: too many potential sources where the nuggets we are looking for could be hidden.
I certainly have read many an article that cites my work in the wrong context or even uses my work to support the opposite claim from the one I made. Divoli et al. demonstrate the extent of this problem. Their work supports the need to revamp the manner in which we publish our research.
Amaral L: F1000Prime Recommendation of [Divoli A et al., PLoS Comput Biol 2011, 7(10):e1002132]. In F1000Prime, 09 Dec 2011; DOI: 10.3410/f.13383005.14750246. F1000Prime.com/13383005#eval14750246
F1000Prime Recommendations, Dissents and Comments for [Divoli A et al., PLoS Comput Biol 2011, 7(10):e1002132]. In F1000Prime, 27 Apr 2015; F1000Prime.com/13383005
Get the most out of F1000Prime - attend a live online demonstration.
Please choose one of the following time zones:
Want to become an
has been added to your "Faculty I'm Following" page in MyF1000
Follow/Unfollow any Faculty via their recommendations, biography pages, or MyF1000
If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password.
The email address should be the one you originally registered with F1000.
You registered with F1000 via Google, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Google account password, please click here.
You registered with F1000 via Facebook, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Facebook account password, please click here.
We have sent an email to , please follow the instructions to reset your password.
If you don't receive this email, please check your spam filters and/or contact email@example.com.