Back to Search
Start Over
A comparative analysis reveals irreproducibility in searches of scientific literature
- Publication Year :
- 2020
- Publisher :
- Cold Spring Harbor Laboratory, 2020.
-
Abstract
- Repeatability is the cornerstone of science and it is particularly important for systematic reviews. However, little is known on how database and search engine choices influence replicability. Here, we present a comparative analysis of time-synchronized searches at different locations in the world, revealing a large variation among the hits obtained within each of the several search terms using different search engines. We found that PubMed and Scopus returned geographically consistent results to identical search strings, Google Scholar and Web of Science varied substantially both in the number of returned hits and in the list of individual articles depending on the search location and computing environment. To maintain scientific integrity and consistency, especially in systematic reviews, action is needed from both the scientific community and scientific search platforms to increase search consistency. Researchers are encouraged to report the search location, and database providers should make search algorithms transparent and revise access rules to titles behind paywalls.
- Subjects :
- 0303 health sciences
Information retrieval
Computer science
05 social sciences
String searching algorithm
Scientific literature
03 medical and health sciences
Consistency (database systems)
Search engine
Systematic review
Search algorithm
0509 other social sciences
050904 information & library sciences
030304 developmental biology
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....1f7561300422ac616510365ab71a5f2b
- Full Text :
- https://doi.org/10.1101/2020.03.20.997783