Quantifying the consistency of scientific databases.
Science is a social process with far-reaching impact on our modern society. In recent years, for the first time we are able to scientifically study the science itself. This is enabled by massive amounts of data on scientific publications that is increasingly becoming available. The data is contained...
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doaj-4f60e21ee3064f3cbd571d206b33726e2020-11-25T02:42:38ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01105e012739010.1371/journal.pone.0127390Quantifying the consistency of scientific databases.Lovro ŠubeljMarko BajecBiljana Mileva BoshkoskaAndrej KastrinZoran LevnajićScience is a social process with far-reaching impact on our modern society. In recent years, for the first time we are able to scientifically study the science itself. This is enabled by massive amounts of data on scientific publications that is increasingly becoming available. The data is contained in several databases such as Web of Science or PubMed, maintained by various public and private entities. Unfortunately, these databases are not always consistent, which considerably hinders this study. Relying on the powerful framework of complex networks, we conduct a systematic analysis of the consistency among six major scientific databases. We found that identifying a single "best" database is far from easy. Nevertheless, our results indicate appreciable differences in mutual consistency of different databases, which we interpret as recipes for future bibliometric studies.http://europepmc.org/articles/PMC4436008?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lovro Šubelj Marko Bajec Biljana Mileva Boshkoska Andrej Kastrin Zoran Levnajić |
spellingShingle |
Lovro Šubelj Marko Bajec Biljana Mileva Boshkoska Andrej Kastrin Zoran Levnajić Quantifying the consistency of scientific databases. PLoS ONE |
author_facet |
Lovro Šubelj Marko Bajec Biljana Mileva Boshkoska Andrej Kastrin Zoran Levnajić |
author_sort |
Lovro Šubelj |
title |
Quantifying the consistency of scientific databases. |
title_short |
Quantifying the consistency of scientific databases. |
title_full |
Quantifying the consistency of scientific databases. |
title_fullStr |
Quantifying the consistency of scientific databases. |
title_full_unstemmed |
Quantifying the consistency of scientific databases. |
title_sort |
quantifying the consistency of scientific databases. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2015-01-01 |
description |
Science is a social process with far-reaching impact on our modern society. In recent years, for the first time we are able to scientifically study the science itself. This is enabled by massive amounts of data on scientific publications that is increasingly becoming available. The data is contained in several databases such as Web of Science or PubMed, maintained by various public and private entities. Unfortunately, these databases are not always consistent, which considerably hinders this study. Relying on the powerful framework of complex networks, we conduct a systematic analysis of the consistency among six major scientific databases. We found that identifying a single "best" database is far from easy. Nevertheless, our results indicate appreciable differences in mutual consistency of different databases, which we interpret as recipes for future bibliometric studies. |
url |
http://europepmc.org/articles/PMC4436008?pdf=render |
work_keys_str_mv |
AT lovrosubelj quantifyingtheconsistencyofscientificdatabases AT markobajec quantifyingtheconsistencyofscientificdatabases AT biljanamilevaboshkoska quantifyingtheconsistencyofscientificdatabases AT andrejkastrin quantifyingtheconsistencyofscientificdatabases AT zoranlevnajic quantifyingtheconsistencyofscientificdatabases |
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1724772436400930816 |