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PatientsLikeMe (PLM) is a health management and social networking website. The platform currently has over 830,000 members who are dealing with more than 2,900 conditions, such as ALS, MS, and epilepsy. Data generated by patients themselves are collected and quantified with the goal of providing an environment for peer support and learning. These data…
History, Culture, Works & Companies
Explore the main themes, entities and connections around PatientsLikeMe. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| PatientsLikeMe | Current status | Active | 1.00 | infobox |
| PatientsLikeMe | Founded | 2004 | 1.00 | infobox |
| PatientsLikeMe | Headquarters | Cambridge, Massachusetts, United States | 1.00 | infobox |
| PatientsLikeMe | Key people | Atul Dhir (CEO) | 1.00 | infobox |
| PatientsLikeMe | Launched | October 10, 2005 | 1.00 | infobox |
| PatientsLikeMe | Type of business | Private | 1.00 | infobox |
| PatientsLikeMe | Type of site | Social networking service | 1.00 | infobox |
| PatientsLikeMe | URL | patientslikeme.com | 1.00 | infobox |
| percentile curves on the patient profile | instance of | feature visual aids | 0.80 | text |
| so that an individual user can see whether their rate of progression is fast | instance of | feature visual aids | 0.80 | text |
| slow | instance of | feature visual aids | 0.80 | text |
| or about average | instance of | feature visual aids | 0.80 | text |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.