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000045936 0247_ $$2doi$$a10.1016/j.wpi.2022.102095
000045936 035__ $$a(OCoLC)1284952498
000045936 040__ $$aSzGeWIPO$$beng$$erda$$cSzGeWIPO$$dCaBNVSL
000045936 041__ $$aeng
000045936 24500 $$aManaging patent examiners’ workload by using patent application volume data /
000045936 264_1 $$aOxford [England] :$$bElsevier Ltd.,$$c2022
000045936 300__ $$a1 volume.
000045936 337__ $$aunmediated$$bn$$2rdamedia
000045936 4901_ $$aWorld Patent Information,$$v68, March, 2022.
000045936 542__ $$fhttps://www.sciencedirect.com/science/article/pii/S0172219022000023
000045936 588__ $$aCrossref
000045936 590__ $$aPublished online: 24-Feb-22
000045936 650_0 $$aPatents.
000045936 650_0 $$aWorkload.
000045936 7001_ $$aGolodne, Daniel Marques,$$eauthor.
000045936 7001_ $$ada Silva, Alexandre Sousa,$$eauthor.
000045936 7730_ $$tWorld Patent Information$$wWPI
000045936 830_0 $$aWorld Patent Information,$$v68, March, 2022.
000045936 85641 $$uhttps://doi.org/10.1016/j.wpi.2022.102095$$yonline version
000045936 904__ $$aJournal article
000045936 980__ $$aWPI