CitNetExplorer – Amazing new tool for Analyzing for visualizing citation networks of scientific publications.

See on Scoop.it – Dual impact of research; towards the impactelligent university

CitNetExplorer is a software tool for visualizing and analyzing citation networks of scientific publications. The tool allows citation networks to be imported directly from the Web of Science database. Citation networks can be explored interactively, for instance by drilling down into a network and by identifying clusters of closely related publications.
Why use CitNetExplorer?

Examples of applications of CitNetExplorer include:

Analyzing the development of a research field over time. CitNetExplorer visualizes the most important publications in a field and shows the citation relations between these publications to indicate how publications build on each other.

Identifying the literature on a research topic. CitNetExplorer delineates the literature on a research topic by identifying publications that are closely connected to each other in terms of citation relations.

Exploring the publication oeuvre of a researcher. CitNetExplorer visualizes the citation network of the publications of a researcher and shows how the work of a researcher has influenced the publications of other researchers.

Supporting literature reviewing. CitNetExplorer facilitates systematic literature reviewing by identifying publications cited by or citing to one or more selected publications.

DataWeb of Science import. Citation networks can be imported directly from the Web of Sciencedatabase.Pajek export. Citation networks can be exported in the popular Pajek file format.Large networks. Very large citation networks, including millions of publications and tens of millions of citation relations, are supported.FeaturesDataVisualizationAnalysis

VisualizationZooming and scrolling. Visualizations of citation networks can be explored using zoom and scroll functionality similar to for instance Google Maps. A smart labeling algorithm ensures that labels do not overlap.Indirect citation relations. In addition to direct citation relations, higher-order indirect citation relations can be made visible as well.Screenshots. Screenshots of citation network visualizations can be easily copied into other programs, such as Word or PowerPoint.AnalysisSelection of publications. Publications can be selected simply by indicating the oldest and most recent publications of interest. Intermediate publications are automatically added to the selection.Drill down and expand. Drill down and expand functionality offers an intuitive way of moving through a citation network. Like in a web browser, back and forward buttons can be used to move back and forth.Algorithms. Algorithms are available for identifying connected components, clusters, core publications, and shortest and longest paths.

– See more at: http://www.citnetexplorer.nl/

BioCode’s Notes: In the ERA of science communication, Why you need Twitter, Professional Blog and ImpactStory?

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Where is the information? Where are the scientifically relevant results? Where are the good ideas? Are these things (only) in journals?

 

The author:” In the not too distant future, today’s science journals will be replaced by a set of decentralized, interoperable services that are built on a core infrastructure of open data and evolving standards — like the Internet itself. What the journal did in the past for a single article, the social media and internet resources are doing for the entire scholarly output. We are now immersed in a transition to another science communication system— one that will tap on Web technology to significantly improves dissemination. I prefer to represent the future of science communication by a block diagram where the four main components: (i) Data, (ii) Publications, (iii) Dissemination and (iv) Certification/Reward”

 

Source:

http://computationalproteomic.blogspot.ca/2014/02/in-era-of-science-communication-why-you.html

 

See on computationalproteomic.blogspot.ca

Impact with integrity: The new Scientific Integrity Dilemma Game developed by Erasmus University; Professionalism and Integrity in Research

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The Erasmus University Rotterdam has developed a game which helps staff and students discuss dilemmas and stimulates them to find solutions. This game contains many common integrity issues. It also offers participants the opportunity to formulate dilemmas from their own practice. In a lighthearted fashion, they can discuss how their own department applies the values from the Integrity code and clarify their responsibilities.

Scientific integrity dilemma game

Besides the existing general dilemma game, a game specifically focusing on professionalism and integrity in research has been developed. The dilemma game Professionalism and integrity in research uses over 70 common dilemmas in science and invites discussion on the subject.

 

The dilemma game is available as interactive PDF here:

http://www.eur.nl/fileadmin/ASSETS/ieb/integriteit/dilemmagame-mrg.pdf

 

See on www.eur.nl

Impact with integrity: The new Scientific Integrity Dilemma Game developed by Erasmus University; Professionalism and Integrity in Research

See on Scoop.it – Dual impact of research; towards the impactelligent university

The Erasmus University Rotterdam has developed a game which helps staff and students discuss dilemmas and stimulates them to find solutions. This game contains many common integrity issues. It also offers participants the opportunity to formulate dilemmas from their own practice. In a lighthearted fashion, they can discuss how their own department applies the values from the Integrity code and clarify their responsibilities.

Scientific integrity dilemma game

Besides the existing general dilemma game, a game specifically focusing on professionalism and integrity in research has been developed. The dilemma game Professionalism and integrity in research uses over 70 common dilemmas in science and invites discussion on the subject.

 

The dilemma game is avaiable as interactive PDF here:

http://www.eur.nl/fileadmin/ASSETS/ieb/integriteit/dilemmagame-mrg.pdf

 

See on www.eur.nl

Mapping Scientific Excellence; Measuring institutional performance with two indicators: Best paper Rate and Best Journal Rate: Erasmus scores excellent in Social Sciences

See on Scoop.it – Dual impact of research; towards the impactelligent university

This web application visualizes scientific excellence worldwide in 17 subject areas. For each institution (university or research-focused institution), the estimated probabilities of (i) publishing highly cited papers (Best Paper Rate) or (ii) publishing in the most influential journals (Best Journal Rate) are shown. Both probabilities, which can be adjusted by covariates, range from blue (high probability) through grey (average) to red (low probability) at a circle. The circle size corresponds to the institutional number of papers.

The Web application is based on Scopus data collected for the SCImago Institutions Ranking. To obtain reliable data in terms of geo-coordinates and performance metrics, we only consider those institutions that have published at least 500 articles, reviews and conference papers in the period 2006 to 2010 in a certain Scopus subject area in the study. 

See on www.excellencemapping.net

Netherlands scores highest average amount of citations per document in field of Business, Management and Accounting Research.

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wmijnhardt‘s insight:

Scimago Journal Rank produces very useful analytics for ranking countries in different fields, based on SCOPUS data. With 17,75 average citations per document, NL is leading the field of Business, Management and Accounting, covering the years 1996-2012. NL is not the largest producer of articles (9010), compared with the United Kingdom (39296 articles).

Sweden, Finland, Denmark and Norway obviously produce very relevant research with very high citation yield compared to their relatively small overall output.

 

See on www.scimagojr.com

RMIMR stats; my weblog 2013 in review

The WordPress.com stats helper monkeys prepared a 2013 annual report for this blog.

Here’s an excerpt:

A New York City subway train holds 1,200 people. This blog was viewed about 7,100 times in 2013. If it were a NYC subway train, it would take about 6 trips to carry that many people.

Click here to see the complete report.

 

Single-Author Papers: A Waning Share of Output in all fields but especially Economics and Business; down from 70% in 1981 to under 30% in 2012

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In 2012, ScienceWatch last revisited the topic of multiauthor papers—the trend toward scholarly publications listing authors whose numbers, in some cases, now reach into the thousands. In this report, we turn to the opposite end of the spectrum.

In the field of Social Sciences dominates, according to both the 1981 and 2012  measurements, with Economics & Business and Mathematics following closely. Each of those fields, in 1981, registered single authorship on upwards of 70% of its total papers.

By 2012, as Graph 4 makes plain, the rate of single authorship had fallen drastically in all the fields, with the greatest percentage drop in Economics & Business (42 points), and comparable reductions in Computer Science (40 points), and Mathematics (38). Social Sciences, from a high of 72% in 1981, also recorded a 30-points-plus decline to its 38% of single-authored papers in 2012.

See on sciencewatch.com

Science as an open enterprise; towards all scientific literature online all data online, and for them to interoperate

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The Science as an open enterprise report highlights the need to grapple with the huge deluge of data created by modern technologies in order to preserve the principle of openness and to exploit data in ways that have the potential to create a second open science revolution. Exploring massive amounts of data using modern digital technologies has enormous potential for science and its application in public policy and business. The report maps out the changes that are required by scientists, their institutions and those that fund and support science if this potential is to be realised.

Areas for action. Six key areas for action are highlighted in the report:

1. Scientists need to be more open among themselves and with the public and media
2. Greater recognition needs to be given to the value of data gathering, analysis and communication
3. Common standards for sharing information are required to make it widely usable
4. Publishing data in a reusable form to support findings must be mandatory
5. More experts in managing and supporting the use of digital data are required
6. New software tools need to be developed to analyse the growing amount of data being gathered

Fultext:

http://royalsociety.org/uploadedFiles/Royal_Society_Content/policy/projects/sape/2012-06-20-SAOE.pdf

Summary:

http://royalsociety.org/uploadedFiles/Royal_Society_Content/policy/projects/sape/2012-06-20-SAOE-Summary.pdf

Presentation:

http://openaccess.sdum.uminho.pt/wp-content/uploads/2013/02/1_GeoffreyBoulton_OpenAIREworkshopUMinho.pdf

See on royalsociety.org

Knowledge transfer from from European universities and institutes to industry; practices & mechanisms

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This study describes knowledge transfer from European universities and institutes to industry, focusing on the role of the Industrial Liaison / Technology / Knowledge Transfer Office function. It explores practices in European institutions and compares these with international ones, especially from the USA. The project is based upon a comprehensive literature review and a programme of detailed case studies of knowledge transfer strategies and practices. It addresses the wide range of knowledge transfer activities undertaken by public research organisations, in addition to IP exploitation and their different effects on innovation in the business sector. It presents a model of the transition of PROs’ knowledge transfer strategies from pure technology transfer based only on IP to a broader role in knowledge transfer and ultimately to a two-way process of knowledge exchange between PROs and industry and wider society. The report presents a number of policy options to support this process.

 

Source:

Knowledge transfer from public research organisations

EU bookshop, 2012

ISBN: 978-92-823-4018-9

DOI: 10.2861/99859

See on bookshop.europa.eu