{"id":515,"date":"2011-06-18T14:10:54","date_gmt":"2011-06-18T19:10:54","guid":{"rendered":"http:\/\/notebooks.dataone.org\/tracking1000datasets\/?p=170"},"modified":"2013-05-09T01:17:13","modified_gmt":"2013-05-09T01:17:13","slug":"june-18-2011-analyzing-array-express-for-data-reuse","status":"publish","type":"post","link":"https:\/\/notebooks.dataone.org\/data-reuse\/june-18-2011-analyzing-array-express-for-data-reuse\/","title":{"rendered":"June 18, 2011 – Analyzing Array Express for Data Reuse"},"content":{"rendered":"
Today I finished analyzing the articles collected yesterday<\/a> from Google Scholar for the Array Express datasets.\u00a0 After removing a few articles because they were duplicates of the published Data Collection Article, either in thesis or report form, I was left with a total of 30 articles.\u00a0 Of these, 1 had an import error from Google Scholar so the article could not be located and I did not have full-text access to 3 articles.\u00a0 Of the 26 remaining articles, 20 showed dataset reuse, 4 had ambiguous datatset reuse, and 2 had the dataset reused as an example, usually a generic dataset chosen to explain different functionality or limitations of the datasets in a data repository.\u00a0 These tags and associated citations can be seen the Array Express – GS Mendeley group<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":" Today I finished analyzing the articles collected yesterday from Google Scholar for the Array Express datasets.\u00a0 After removing a few articles because they were duplicates of the published Data Collection Article, either in thesis or report form, I was left with a total of 30 articles.\u00a0 Of these, 1 had Continue reading June 18, 2011 – Analyzing Array Express for Data Reuse<\/span>