{"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>→<\/span><\/a><\/p>\n","protected":false},"author":15,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[111],"tags":[],"_links":{"self":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/515"}],"collection":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/comments?post=515"}],"version-history":[{"count":1,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/515\/revisions"}],"predecessor-version":[{"id":559,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/515\/revisions\/559"}],"wp:attachment":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/media?parent=515"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/categories?post=515"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/tags?post=515"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}