aller au contenu
 Open Access Scientometrics and the UK Research... Aperçu de cet ouvrage
FermerAperçu de cet ouvrage
Vérifiant…

Open Access Scientometrics and the UK Research Assessment Exercise

Auteur : Harnad, Stevan
Éditeur : 2009
Édition/format :   Article téléchargeable
Base de données :WorldCat
Résumé :
Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Assessment Exercise (RAE) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric  Lire la suite...
Évaluation :

(pas encore évalué) 0 avec des critiques - Soyez le premier.

Sujets
Plus comme ceci

 

Trouver un exemplaire en ligne

Liens vers cet ouvrage

Trouver un exemplaire dans la bibliothèque

&AllPage.SpinnerRetrieving; Recherche de bibliothèques qui possèdent cet ouvrage...

Détails

Genre/forme : Article/revue scientifique
PeerReviewed
Type d’ouvrage : Ressource Internet
Format : Ressource Internet, Article
Tous les auteurs / collaborateurs : Harnad, Stevan
Numéro OCLC : 688493489
Notes : application/pdf
text/html

Résumé :

Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Assessment Exercise (RAE) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, etc. can all be tested and validated jointly, discipline by discipline, against their RAE panel rankings in the forthcoming parallel panel-based and metric RAE in 2008. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster.

Critiques

Critiques d’utilisateurs
Récupération des critiques de GoodReads...
Récuperation des critiques DOGObooks…

Tags

Tous les tags des utilisateurs (1)

Voir les tags les plus utilisés sous forme de : liste de tags | nuage de tags

Ouvrages semblables

Confirmez cette demande

Vous avez peut-être déjà demandé cet ouvrage. Veuillez sélectionner OK si vous voulez poursuivre avec cette demande quand même.

Données liées


<http://www.worldcat.org/oclc/688493489>
library:oclcnum"688493489"
rdf:typeschema:Article
rdf:typeschema:MediaObject
rdf:typej.0:Web_document
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:creator
schema:datePublished"2009"
schema:description"Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Assessment Exercise (RAE) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, etc. can all be tested and validated jointly, discipline by discipline, against their RAE panel rankings in the forthcoming parallel panel-based and metric RAE in 2008. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster."
schema:exampleOfWork<http://worldcat.org/entity/work/id/761995355>
schema:genre"Article/revue scientifique"
schema:genre"PeerReviewed"
schema:name"Open Access Scientometrics and the UK Research Assessment Exercise"
schema:publication
schema:url<http://www.archipel.uqam.ca/2440/1/scientometproofs.pdf>
schema:url<http://www.archipel.uqam.ca/2440/2/oa-scientometrics.html>
wdrs:describedby

Content-negotiable representations

Fermer la fenêtre

Veuillez vous identifier dans WorldCat 

Vous n’avez pas de compte? Vous pouvez facilement créer un compte gratuit.