At the end of each year I have a look at the website analytics to see which items were the most popular.

Over the year there were 60,000 unique visitors with 25% visiting the site on multiple occasions. The US provided 30% of the visitors and the UK 10% with Germany, Canada and Japan around 5%. As might be expected 60% of the visitors were using a Mac, but 25% of the visitors were Windows users and 10% iOS. Looking at the last month's Mac visitors, 53% were using Mac OS X 10.13, 25% 10.12 and 12% 10.11.

Safari and Chrome (each 41%) were the most used web browsers with the once dominant Internet Explorer down at 2%.

The most viewed blog pages in 2017 were

• Installing Molden
• ChemBioDraw and Word 15
• Mac OSX installer for Coot
• Scientific keyboards for iOS
• Tools for Mac Fortran Programmers

The most popular web pages were (other than the main page)

• Fortran on a Mac
• Cheminformatics on a Mac
• Data Analysis Application on a Mac
• Hints and Tutorials
• Spectroscopy
• Reference Management

The continued popularity of the Fortran on a Mac web page is interesting, I'm not a big Fortran user but if anyone knows of items that could be added to the page I'd be delighted to hear about them. I've done a couple of updates to the Cheminformatics on a Mac page and I think I'll need to add a section on Bioconda in the future.

Interestingly the Scientific Applications under High Sierra page was of only transient popularity. It seem this update to Mac OSX was relatively benign with very few issues.

2017 also saw the 2000th download of iBabel, iBabel is a GUI (graphical user interface) for the open source cheminformatics toolkit OpenBabel. It also provides an interface to a variety of tools built using OpenBabel and a molecule viewer. I'm planning to do an update to iBabel to take advantage of some of the updates to OpenBabel but if you have any suggestions I'd happy to see if I can include them.

2017 also saw the migration of the website from http to https, a change that went pretty seamlessly with only a couple of minor glitches.

The Twitter feed is increasing in popularity with 390 followers. The most popular tweets were

Creating a Bioconda recipe
RSC meeting on AI in Chemistry

The RSS feed still has around 100 followers