Description Usage Format Details See Also
An example data set of autonomous vehicle IP from major assignees.
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A data frame with 863 observations on 26 variables.
The search result number.
The jurisdiction of the patent document.
kindCode
The kind code.
The published document number with country code and kind code included.
The unique identification number of the document on lens.org
Date the document was published.
Year the document published.
The filing number of the application (country code, number, and abridged kind code, typically 'A')
Date the application for the patent document was filed.
Applications this patent document claims priority. Format: Country code, application number, A = application or P = provisional, YYYYMMDD of priority. Multiple application separated by a double semi-colon.
The title of the document.
The name of the applicant(s) at the time of filing.
The inventor(s).
The lens.org URL for the document.
A lens.org mapping of the doc type. Granted, application, ambiguous, unknown, search report, and possibly more values.
A logical value to show if there is a full text available from lens.org
The number of times this document is cited, also known as forward citations.
The number of unique documents in the immediate patent family.
The number of unique documents sharing a priority applicaiton in the extended family.
Used in biological applications – the number of sequences in the application.
The CPC classification codes, separated by a double semi-colon.
The IPCR classification codes, separated by a double semi-colon.
The US classification codes, separated by a double semi-colon.
A pubmed ID to any related research.
A digital object identifier. Go to doi.org and paste the value to get the associated research paper.
Non-patent literature, or citations of non-patent sources. Separated with double semi-colons.
The data search was performd on Saturday, March 18, 2017 from lens.org, and the exact search:
For all countries available on Lens.
Can get raw data with the following commands:
temp <- system.file("extdata", "lens_autonomous_search.csv", package = "patentr")
temp <- read.csv(temp, stringsAsFactors = FALSE)
temp <- data.frame(lapply(temp, function(x){iconv(x,to="ASCII")}),stringsAsFactors = FALSE)
names(temp) <- lensNames
temp$dateFiled <- as.Date(temp$dateFiled, format = '%m/%d/%y')
temp$pubDate <- as.Date(temp$pubDate, format='%m/%d/%y')
# note that
colsNum <- c("resultNum","citeCount","familySimpleCount","familyExtendedCount", "seqCount")
temp[colsNum] <- sapply(temp[colsNum], as.numeric)
temp$hasFullText <- sapply(temp$hasFullText, function(x) ifelse(x=="yes",TRUE,FALSE))
www.lens.org You can export without an account, or can create an account to save your searches.
acarsGoogle
provides a similar search from Google.
acars
provides a similar search from sumobrain.
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