Here below is a list of all available fields that can be exported.
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Numbers |
Priority |
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Application | |
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Publication | |
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Family | |
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Dates |
Priority |
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Application | |
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Publication | |
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Grant | |
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Expected expiry | |
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Biblio |
Title |
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Abstract | |
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Assignees | |
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Inventors | |
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Representatives | |
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Key content | |
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Technical concepts | |
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Images | |
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First page like | |
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Fulltext |
Claims |
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Description | |
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Keywords in context | |
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Classifications |
Technology domains |
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Cooperative classification | |
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International classification | |
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US patent classification | |
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Japanese classification | |
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European classification | |
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Citations |
Citing patents (forward citations) |
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Citing patents – Raw information | |
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Cited patents (backward citations) | |
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Cited patents – Raw information | |
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Cited non-patent literature | |
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Legal Information |
Legal status |
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Legal actions | |
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Designated states | |
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Links |
Original document |
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Image mosaics | |
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National register site | |
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Biblio summary | |
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Location |
Earliest countries |
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Assignee country | |
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Representative country | |
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Inventor country | |
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Counts |
Cited patents (backward citations) |
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Citing patents (forward citations) | |
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Independent claims | |
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Dependent claims | |
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Assignees | |
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Age | |
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Words in document (see details below) * | |
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Words in abstract | |
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Words in description | |
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Countries/Authorities | |
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Licensing agreements | |
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Number of figures | |
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Number of priorities | |
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Number of patents (applications) | |
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Others |
Licensing interest name |
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Security interest name | |
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Drug name | |
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WO parent publication number | |
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EP parent application number | |
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Notes | |
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Filing details | |
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Filing language | |
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Litigation | |
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Standards | |
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Licence ID | |
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Custom |
* Words in document: number of entries from our dictionary found in documents. This roughly corresponds to number of words, but can differ since many dictionary entries have more than one token (i.e. "Fast Fourier Transform" counts for 1 entry)
Distinct words in document: same as before, except that same entries are counted only once (i.e. "The rules of the game" = 5 distinct words)
Lemmas in document: number of distinct lemmas in document. Lemmas are "roots" of words (i.e. "Sister and sisters" = 2 lemmas)
Technical concepts extracted from the document: number of complex concepts extracted by PatentExtractor algorithms
Technical terms extracted from the document: it is an "historical" count, it counts the number of terms in the document. As it is obsolete, Marketing Dept opened a bug to remove it from the export options