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Competitive Landscape Metrics
The graph shows the overall ranking of your competitors and your company on a topic. The overall score is established by aggregating 6 metrics, each with a percentage of importance.
To be readable the graph is normalized to 100 (the first of the race having the score of 100).
Metrics are distributed as follows :
Metric | % |
---|---|
Experience | 15% |
Momentum | 8% |
Network & Influence | 15% |
Patenting Activity | 30% |
Scientific Activity | 30% |
Buzz | 2% |
Analysing scientific and technical production of your competitors, it is possible to position everyone’s experience on a topic.
Experience combines 2 parameters : Date of publication and regularity of the work to date.
Parameters are distributed as follows :
Parameter | % |
---|---|
Date | 80% |
Regularity | 20% |
Analysing scientific and technical production of your competitors, it is possible to position everyone’s momentum on a topic.
Momentum combines 2 parameters : Amount of recent works and acceleration during last years.
Parameters are distributed as follows :
Parameter | % |
---|---|
Recents works | 80% |
Acceleration | 20% |
Analysing scientific and technical production of your competitors, it is possible to position everyone’s Network on a topic.
Network combines 5 parameters : Centrality of each player, size of the network, reach of the network, diversity of partners and participation in collaborative activities (projects…).
Parameters are distributed as follows :
Parameter | % |
---|---|
Centrality | 25% |
Size | 50% |
Reach | 10% |
Diversity | 5% |
Collaborative activities | 10% |
Analysing patents fillings of your competitors, it is possible to position everyon's patenting activity on a topic.
Patenting Activity is based on amount of filled on a topic
Analysing scientific works, clinical studies and research projects of your competitors, it is possible to position everyone’s scientific activity on a topic.
Scientific Activity combines :
- Number of published documents
- Sum of the scores of its documents (all types)
- Diversity of scientific works
Analysing web sites and web contents of your competitors, it is possible to position everyone’s buzz and communication on a topic.
The graph is built using the technical domains in wich your competitors’ patents and yours are classified on a topic.
Technical domains are generated using semantic analysis.
There are 32 technical domains :
The graph is built using IPC codes of the players patents on a topic. Only new classification that have emerged in the last 4 years are considered.
IPC codes list is available on WIPO website here.
The list of possibles competitors includes companies or organizations that have published scientific document(s) or filed patent(s) or participated to project(s) or clinical trial(s) or communicated on topics related to your search.
Organizations are ordered by default by relevance.
The relevancy of an organization is mainly based on the following indicators:
- Number of published documents (all types of documents)
- Sum of the scores of its documents (all types)
- Centrality in the query network : the centrality is an indicator based on the number and distance of connections of a node in a network.
- Diversity of scientific works (number of different types)
- Sum of the scores of the company web pages
The list of emerging competitors includes Start-ups that have published scientific document(s) or filed patent(s) or participated to project(s) or clinical trial(s) or communicated on topics related to your search.
Start-ups are defined by the number of employees below 250.
The relevancy of a Start-up is mainly based on the following indicators:
- Number of published documents (all types of documents)
- Sum of the scores of its documents (all types)
- Centrality in the query network : the centrality is an indicator based on the number and distance of connections of a node in a network.
- Diversity of scientific works (number of different types)
- Sum of the scores of the company web pages