Data for: On the interplay between normalisation, bias, and performance of paper impact metrics

Main Author: Dunaiski, Marcel
Other Authors: Geldenhuys, Jaco, Visser, Willem
Format: Dataset
Terbitan: Mendeley , 2019
Subjects:
Online Access: https:/data.mendeley.com/datasets/v4mxr9p3h5
ctrlnum 0.17632-v4mxr9p3h5.2
fullrecord <?xml version="1.0"?> <dc><creator>Dunaiski, Marcel</creator><title>Data for: On the interplay between normalisation, bias, and performance of paper impact metrics</title><publisher>Mendeley</publisher><description>This data set consists of two types of test data that may be used citation analyses: 1) papers that have won best paper awards 2) papers that have won high-impact awards All entities are matched to two publication databases: the ACM digital library and the Microsoft Academic Graph database.</description><subject>Computer Science</subject><subject>Bibliometrics</subject><contributor>Geldenhuys, Jaco</contributor><contributor>Visser, Willem</contributor><type>Other:Dataset</type><identifier>10.17632/v4mxr9p3h5.2</identifier><rights>Attribution-NonCommercial 3.0 Unported</rights><rights>https://creativecommons.org/licenses/by-nc/3.0</rights><relation>https:/data.mendeley.com/datasets/v4mxr9p3h5</relation><date>2019-01-24T07:32:47Z</date><date>2018-10-31T00:00:00Z</date><recordID>0.17632-v4mxr9p3h5.2</recordID></dc>
format Other:Dataset
Other
author Dunaiski, Marcel
author2 Geldenhuys, Jaco
Visser, Willem
title Data for: On the interplay between normalisation, bias, and performance of paper impact metrics
publisher Mendeley
publishDate 2019
topic Computer Science
Bibliometrics
url https:/data.mendeley.com/datasets/v4mxr9p3h5
contents This data set consists of two types of test data that may be used citation analyses: 1) papers that have won best paper awards 2) papers that have won high-impact awards All entities are matched to two publication databases: the ACM digital library and the Microsoft Academic Graph database.
id IOS7969.0.17632-v4mxr9p3h5.2
institution Universitas Islam Indragiri
affiliation onesearch.perpusnas.go.id
institution_id 804
institution_type library:university
library
library Teknologi Pangan UNISI
library_id 2816
collection Artikel mulono
repository_id 7969
city INDRAGIRI HILIR
province RIAU
shared_to_ipusnas_str 1
repoId IOS7969
first_indexed 2020-04-08T08:27:35Z
last_indexed 2020-04-08T08:27:35Z
recordtype dc
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