Email
Favorite
Favorited ×
Download
Embed
Private Content
Copy and paste this code into your blog or website Copy Customize Close
We have emailed the verification/download link to "".
Login to your email and click the link to download the file directly.

To request the link at a different email address, update it here. Close
Validation messages. Success message. Fail message.

Check your bulk/spam folders if you can't find our mail.

Tweet

Loading…

Flash Player 9 (or above) is needed to view presentations.
We have detected that you do not have it on your computer. To install it, go here.

Stevan Harnad - Scholarly/Scientific Impact Metrics in the Open Access Era

by Conferência Luso-Brasileira sobre Acesso Livre on Nov 25, 2010

1,050 views

1ª Conf. Luso-Brasileira de Acesso Aberto
Stevan Harnad - Scholarly/Scientific Impact Metrics in the Open Access Era

1ª Conf. Luso-Brasileira de Acesso Aberto
Stevan Harnad - Scholarly/Scientific Impact Metrics in the Open Access Era

Accessibility

View text version

Categories

Education

Tags

confoa open access acesso aberto impact metrics oa

Upload Details

Uploaded via SlideShare as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

File a copyright complaint

1 Embed 1

http://paper.li

1

Statistics

Favorites: 0
Downloads: 13
Comments: 0
Embed Views: 1
Views on SlideShare: 1,049
Total Views: 1,050

To maximise research access, supplement the existing system: Do as before, but also: Self-archive the preprint in your university’s Eprint Archive, so every would-be user can access it. Self-archive the postprint in your university’s Eprint Archive, so every would-be user can access it. Research access is maximized and so research impact is maximized.
Lawrence’s study using articles in computer science, comparing articles from the same venue (mostly refereed conference proceedings, which is the main form of publication in computer science) and showing that the ones that were self-archived had 300% more citations than the ones in the same venue that were not self-archived.
The correlation between OA and citation level, for computer science
Tim Brody’s finding that self-archived papers are getting cited earlier and earlier.
Multiple regression analysis. Here four metrics are tested against citation counts as the criterion.
These are some of the metrics and statistics that an Institutional Repository (Southampton Eprints) can provide.
Data from citebase, which counts citations as well as downloads in the Physics Arxiv: The cycle of access and impact is illustrated: Self-archiving a paper generates downloads, which generate citations, which generates ,more downloads.
The panel rankings are highly correlated with citation counts. The exercise is based on submitting many performance indicators, and there is long, time-consuming assessment. But the rank order can already predicted (with a correlation of 0.9) by simply counting the total citations. This is true even though citation counts are not submitted. Yet they could have replaced the whole RAE exercise, and much less cost in time and effort for all. This illustrates the importance of citation impact for research funding.
These are the most likely components of the OA citation advantage
Citebase, a scientometric search engine that can rank content by a variety of metrics.
Graph of citations and downloads across time
These are just some of the candidate metrics that can be included in the muptiple correlation to see how much each contributes to predicting the parallel panel rankings.

Stevan Harnad - Scholarly/Scientific Impact Metrics in the Open Access Era — Presentation Transcript

No transcript available.