Form Submission: Session, Poster, Demo Submission

Demo/Poster Number

Ross Island
4

Contact Information
First Name: 
Michael
Last Name: 
Lauruhn
Session Information
Presentation Title: 
Citation analysis for scholarly articles curated by model organism databases (MODs)
Description: 
In our research, we have been addressing the effects of having scholarly articles curated by model organism databases (MODs) on the likelihood of those articles being cited. Literature curation by model organism databases results in the interconnection of papers, genes, gene functions, and other experimentally supported biological information, and aims to make research data more discoverable and accessible to the research community. If articles and their corresponding data are easier to find, then we might expect that curated articles would exhibit different citation profiles when compared to articles that are not curated. Therefore, we have been comparing the citation behavior of different groups of articles and asking the following questions: 1. Given a collection of 'similar' articles that are about Arabidopsis, is there a difference in the citation numbers between articles that have been curated in TAIR and ones that have not? 2. If there are differences, can they be characterized by amount and time? 3. Given articles that have been curated in TAIR and the date it was curated, is there a difference in the citation behavior after it was curated? 4. Given the articles above, is there a difference in citation behavior of curated articles selected by the TAIR staff and articles selected by the community? The short answer to all of these questions is "Yes". In this poster, we will show specific details about the approaches above and our preliminary results. This project is a research partnership between TAIR (The Arabidopsis Information Resource) and Elsevier Labs. TAIR is a highly used model organism database for Arabidopsis thaliana and is one of the Model Organism Databases supported by Elsevier's database linking program. Elsevier Labs is an R&D group within Elsevier and is using Elsevier resources such as Scopus for this research.
Presenter Information
Same As Contact: 
Yes
Organization/Affiliation: 
Elsevier Labs
ORCID ID: 
http://orcid.org/0000-0002-3033-9350
Contributors
First Name: 
Tanya
Last Name: 
Berardini
Organization/Affiliation: 
The Arabidopsis Information Resource (TAIR)
Project Role: 
co-author
First Name: 
Leonore
Last Name: 
Reiser
Organization/Affiliation: 
The Arabidopsis Information Resource (TAIR)
Project Role: 
co-author
First Name: 
Ron
Last Name: 
Daniel
Organization/Affiliation: 
Elsevier Labs
Project Role: 
co-author