banner
#MurderAtTheABA Murder at the ABA
Murder at the ABA (1976) is a mystery novel by Isaac Asimov, following the adventures of a writer and amateur detective named Darius Just, whom Asimov modeled on his friend Harlan Ellison. While attending a convention of the American Booksellers Read More..
Ratings
Ratings 0
Likes
Likes 0
Reviews
Reviews 0
HASH INFO
Review# tag MurderAtTheABA
Review# tag
Hash title Murder at the ABA
Hash title
Description Murder at the ABA (1976) is a mystery novel by Isaac Asimov, following the adventures of a writer and amateur detective named Darius Just, whom Asimov modeled on his friend Harlan Ellison. While attending a convention of the American Booksellers Association, Just discovers the dead body of a friend and protégé. Convinced that the death was due to murder, but unable to convince the police, Just decides to investigate on his own.The book is an example of metafiction, as Asimov himself appears as a character doing research for a murder mystery set at a booksellers' convention.In 1979 Asimov described Murder at the ABA as "my favourite book of all two hundred I have written so far."Asimov, I. Opus 200 (Dell, 1980) p. 408Murder at the ABA was published as Authorised Murder in the United Kingdom.
Description
Created By Admin
DETAILS
Name Murder at the ABA
Name
Authors Isaac Asimov
Authors
Translator
Translator
Genre Mystery novel
Genre
Series
Series
Number in series
Number in series
Language English
Language
Country United States
Country
PUBLISH
Story timeline
Story timeline
Pages 230 pp
Pages
Media_type Print (hardcover & paperback)
Media_type
Isbn 0-385-11305-6
Isbn
Oclc 1975026
Oclc
Publisher Doubleday
Publisher
RELEASE
Pub_date 1976
Pub_date
Release_date 1976
Release_date
Writing
Story
Style of narration
Language & literature
Castings & characters
Overall rating
No reviews available for #MurderAtTheABA, Do you know Murder at the ABA?, Please add your review and spread the good things.
No images available.
MORE INFO
Ratings
No ratings yet.
Feature Ratings
No Feature ratings yet.
Popularity
Reaches
No data available now.
Ranks
This #hashtag is not ranked yet.
×