Here are a few resources that I have found useful in my quest to become an expert searcher!

Bibliographic analysis of PubMed data*


The creme de la creme of all bibliometric tools, PubReminer allows users to input a search strategy (PubMed syntax) or set of PMIDs, and outputs a frequency analysis of authors, journals, free text terms, and MeSH that occur most frequently. This is an excellent way to identify useful MeSH for your strategy that you may have missed.

Yale MeSH Analyser

This tool takes an input of PMIDs and outputs a table with a side by side comparison of the citation information, including an alphabetised list of MeSH. This is a great way to compare whether the gold standard articles for your search are indexed similarly or look for patterns in indexing.


Similarly to PubReminer, GoPubMed provides a frequency analysis for an input of PMIDs or search strategy (with PubMed syntax). This powerful tool provides some pretty visualisations (maps, mind maps, and histograms), and easily allows you to see trends, such as the most common locations for research on this topic, and related concepts.


Provides a frequency analysis for your search query of papers published per year, both in raw and normalised data. Also outputs a chart.

*Q: why are all the cool tools only for PubMed data and why do I have to use PubMed syntax or PubMed IDs (PMIDs) for all of them?? A: PubMed is a publicly available site run by the National Library of Medicine (NLM). No log in is required to access bibliometric data in PubMed and there are freely available APIs for developers to use for manipulating the data in different ways. Yay NLM! Sadly, most databases are proprietary in nature and have much more restrictive access. 

Data Mining

[[ to come ]]


Systematic Approaches to a Successful Literature Review

by Andrew Booth, Anthea Sutton, and Diana Papaioannou
[[ more to come ]]