PatientsLikeMe: History, Culture, Works & Companies

The extracted context around PatientsLikeMe shows recurring relationship patterns in the source. For example, PatientsLikeMe → ALS/MND Associations, Ben Heywood, Biotech, Business, CBS Evening News, CNN Money, CNN's The Next List, Companies That Will Change, Distinction, Dr, Fast Company, FierceHealthIT, Humanitarian Award, In, In January, International Alliance, Jamie, Jeopardy, Later, March Another extracted example is PatientsLikeMe → ALS, Answers, Being, California, Department, Diagnosis, Finally, Given, HIV, MS, On, Parkinson's, Patients, San Francisco, Some, The, There, Three, University, Veteran Affairs. Use these groups to spot repeated connection types before inspecting the individual relationships.

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

TTTA extracted 173 structured relationships around PatientsLikeMe. Examples in this analysis include PatientsLikeMe → Current status → Active and PatientsLikeMe → Founded → 2004. The table shows each extracted connection, where it came from and its confidence.

The concept neighborhoods around PatientsLikeMe bring nearby vocabulary together. In this analysis, examples include Research, Disease and Patients. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

For PatientsLikeMe, one of the stronger structural bridges in this analysis connects PatientsLikeMe with Expansion beyond ALS. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.