Pharma Strategy Blog

Commentary on Pharma & Biotech Oncology / Hematology New Product Development

Recently, Neil Saunders used Wordle to interpret his RSS feeds in Google Reader and posted an excellent blog on tag clouds about it.  Wordle is a neat online tool that takes the words used in your RSS and transposes them into a picture so you can see at a glance what they might produce.

That got me thinking – what would my blogs look like as a big picture?

Here's OncoChat, for example:

Interesting. It was nice to see patients so prominant and cell/cells, myeloma, mutations and
genes would be expected, but TRAF3 and NIK?

What about my other science and cancer blogs?

Here's Cancer Technologies and Insights, for example:

Cancer Tech
Again, some predictable results but telomeres and DNA is more prominant there.

In Cancer Drug Intelligence the focus is clearly very different with 'survival' and the impact of different cancer therapies on tumour types being more prominant:

Cancer Drug Intell

Hematology Market Insights was an eye opener.  I wasn't expecting two key drugs, dasatinib and nilotinib to appear more often than the market leader, imatinib.  Perhaps it was a subconscious desire to appear fair handed having worked on the drug for so long.  Still, while mentions of 'cytogenetic' and 12 months major cytogentic response would be expected, NUP214-ABL1 was a total surprise, especially as I don't recall mentioning it ever!

Hem Mkt Insights

Pharma Market News takes a completely different approach and this is reflected in the Wordle graph.  It discusses the latest happenings in the industry and as you can see, the news has been dominated lately by the potential Roche-Genentech merger and the use of Roche's long acting EPO, CERA, in the Tour De France:

Pharma Mkt News

Finally, we have Oncology Market Trends, which looks at what's new in the world of cancer:

Onc Mkt News

What struck me with this one was the apparent focus on apparent differences and how breast cancer is very much to the fore.  This blog clearly analyses more research than I realised.  It certainly isn't congruent with my shared Google Reader items, which seems to be dominated by prostate cancer, of all the tumour types and disease stabilisation, rather than survival:

Google Reader

Overall, a useful and interesting way of looking at your blogs, tags and RSS feeds – try it for yourself, you may be surprised with the results! 

For those of you interested in Technology, Hutch Carpenter has used Wordle to interpret some tech Geeks shared Google Reader feeds, with some interesting results.  You can read more about in his excellent blog.



3 Responses to “When a picture tells a thousand words – using Wordle for interpretation”

  1. Yuvi

    Note that Wordle looks up their RSS feeds, afaik – So you really get only the last 20 posts or so. Just FYI 🙂
    Great Idea though.

  2. Sally Church

    Thanks Yuvi.
    Even with that limited snapshot, it does teach the value of being careful about using obscure words (or genes!) too often when blogging; I was quite surprised by some of the results!

  3. Ann

    Wow, fascinating
    It’s almost like poetry
    I like the different styles, especially the calligraphic one

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