Name PubMedScan
Aliases None
Description

"PubMedScan is a automatic paper recommendation system for newly published PubMed papers that are related to your interest. This system has the following features: 1) queries are given by a list of PMIDs to search for related articles rather than by keywords or phrases; 2) related papers are reported daily by E-mail and stored in the system; 3) the similarity score between two articles are, currently, scored by PubMed ""Related articles"" service; and 4) the system can be used through either Web (ver 2.0) or software for local installation (ver 1.1). The local version can be installed on a UNIX machine such as Linux and Macintosh. PHP, MySQL, Apache and Perl modules are required. This system is key-word free, therefore effective to compensate for the keyword search in surveying the papers.To collect the PMIDs of your interest easily from your PDF or text files, we also provide software ""PMID-Exporactor""."

Type Tool
Main Institutes of management "Molecular Profiling Research Center for Drug Discovery (molprof), National Institute of Advanced Industrial Science and Technology (AIST)"
Country of the Institute Japan
URL of the site https://medals.jp/pubmedscan
Interface GUI
Input

Output

Input example

"Register your user ID and E-mail address, and Input PMIDs in the box on "Addition of articles" page. The user confirms the paper list on "Preferred articles" page. To manage the registered/recommended many papers, a user can set multiple research topics. In the "Preferred articles" page, if a user pushes the "Recommend" button, an E-mail reports the new papers for the selected research topic will be distributed to the user (on papers registered in PubMed on one day before the time)."

Keyword
content filtering recommendation | content-based recommendation
Amount of the all data for download(Mbyte) | Method to obtain the all data. "[Web version]None.[Local version]Programs (gz)
Manual (PDF, English)"
External resources (databases) in building the product. PURE (only local version) | web services of PubMed: eUtils (both local/web version)
Data type Articles registered in PubMed
Biological species in the main concern
None
Conditions of use GPL(Local version)
Frequency of updates (in last two years) 2
Last date of updates (date of confirmation) 2013/01/29 (2014/02/28)
Main IDs used in the products PubMed ID
How to make a link to get access to each IDs. None
external databases to which this database/tool have links

PubMed (http://www.ncbi.nlm.nih.gov/pubmed/)

Published papers (PubMed IDs)

None