From the site:
Examples of usage
- To find out just how many papers have been indexed by PubMed every year, enter an empty query (simply press ‘Build Trend’);
- To find the history of a subject, enter a few keywords describing the subject. For example, clopidogrel will tell you that discussion about this drug first appeared in 1987, was ocasional (under one paper a month) by 1996 and really took off in after 2000;
- To make statistics of the languages of papers as indexed by PubMed and how they evolved in time enter something like fre[la] and you will see their number is geting reduced in time, despite the increase in the general number of papers, so the prevalence of papers in french in the database falls from about 10%, forty years ago, to less than 2% in 2004;
- To see how many papers have been published in journals published in a given country year by year enter something like france[pl] and one can see that the number of biomedical papers published in France, indexed in Medline, is quite constant over the years, despite the previous statistics;
- queries can be combined, for example:
and you will see that a progressive number of papers published in france, but in english, are indexed by PubMed every year;
- trying pitie-salpetriere[ad] will show you that, while the number of papers published from this famous hospital is increasing yearly, the fraction of these papers from all papers in PubMed in the respective year is relatively constant.
[via Mike G.]
(Previously mentioned here)
I just tried this again and I don’t think it works properly any longer. 🙁
I suspect I’m forgetting another tool or two that will do this. If you know what they are, let me know?