This document summarizes a presentation on social networks for scientists. It introduces the speaker and their background working with platforms like Mendeley and ORCID. It then provides an overview of popular social networks for scientists like ResearchGate, Mendeley, and Academia.edu. The primary features of these networks are described as repositories for research, collaboration tools, metrics of impact, and representation of institutions. Finally, it discusses how librarians can engage with these networks through integration with institutional repositories, research information systems, metrics, and research support services.
Developing communities has become increasingly easy on the web as the number of interactive facilities and amount of data available about communities increases. It is possible to view connections on social and professional networks in the form of mathematical graphs. It is also possible to visualise connections between authors of academic papers. For example, Google Scholar, Academia.edu, ResearchGate, and historically Microsoft Academic Search, now have large corpuses of freely available information on publications, together with author and citation details, that can be accessed and presented in a number of ways. Identification of academic authors online is increasingly important too, using facilities such as ORCID. Some practical guidance on what is worthwhile in presenting publication information online will be given.
Developing communities has become increasingly easy on the web as the number of interactive facilities and amount of data available about communities increases. It is possible to view connections on social and professional networks in the form of mathematical graphs. It is also possible to visualise connections between authors of academic papers. For example, Google Scholar, Academia.edu, ResearchGate, and historically Microsoft Academic Search, now have large corpuses of freely available information on publications, together with author and citation details, that can be accessed and presented in a number of ways. Identification of academic authors online is increasingly important too, using facilities such as ORCID. Some practical guidance on what is worthwhile in presenting publication information online will be given.
Social signals are being increasingly used by science publishers to predict citation rate of papers using these alternative metrics (altmetrics).
This presentation explores the growing importance of an online presence to the professional scientist. It offers three key tips to enhance your visibility - and along with it an improved long term citation rate - and signposts to tools to monitor the online impact of your work output.
Altmetric: Getting Started with Article-Level MetricsAltmetric
This is a quick-start guide to the insights that may be gained from article-level metrics of scholarly papers. This presentation was authored by Jean Liu (jean@altmetric.com), with data from Euan Adie. Examples from the Altmetric blog (http://www.altmetric.com/blog) are shown. For more information, visit Altmetric (http://www.altmetric.com).
Librarians & altmetrics: Tools, tips and use casesLibrary_Connect
Altmetrics are becoming an integral part of looking at the impact and reach of research. Tracking social and online outlets, altmetrics provide quick feedback from a wide range of sources. In this webinar, library experts will discuss how altmetrics work, tools available, and the application of altmetrics in a range of institutions and for various user groups. Watch the webinar: http://ow.ly/vNeax
ORCID iDs: Optimizing Research DiscoverabilityUCD Library
Presentation given by Michael Ladisch, Bibliographic Services Librarian at University College Dublin Library, Dublin Ireland at LIR Annual Seminar, March 21, 2014 in Dublin, Ireland.
A presentation given at the ACS CINF Meeting in Denver on March 22nd 2015
The authoring of a scientific publication can represent the culmination of many tens if not 100s of hours of data collection and analysis. The authoring and peer-review process itself often represents a major undertaking in terms of assembling the publication and passing through review. Considering the amount of work invested in the production of a scientific article it is therefore quite surprising that authors, post-publication, invest very little effort in communicating the value and potential impact of their article to the community. Social networking has clearly demonstrated the ability to self-market and drive attention. At the same time, the increasing volume of literature (over a million new articles are published every year), requires authors to take on a more direct role in ensuring their work gets read and cited. This requirement may grow with the emergence of a range of metrics at the article level, shifting attention away from where a researcher publishes to the performance of their individual articles. Therefore, a separate platform to facilitate social networking and other discovery tools to communicate the value of published science to the community would be of value. In parallel the possibility to enhance an article by linking to additional information (presentations, videos, blog posts etc) allows for enrichment of the article post-publication, a capability not available via the publishers platform. This presentation will provide a personal overview of the experiences of using the Kudos Platform and how it ultimately benefits my ability to communicate an integrated view of my research to the community.
A presentation on why I love Python for a lightning talk at https://www.facebook.com/KochiPython
Humour and Programming best practices are part of Python culture, we cannot separate the two :)
Social signals are being increasingly used by science publishers to predict citation rate of papers using these alternative metrics (altmetrics).
This presentation explores the growing importance of an online presence to the professional scientist. It offers three key tips to enhance your visibility - and along with it an improved long term citation rate - and signposts to tools to monitor the online impact of your work output.
Altmetric: Getting Started with Article-Level MetricsAltmetric
This is a quick-start guide to the insights that may be gained from article-level metrics of scholarly papers. This presentation was authored by Jean Liu (jean@altmetric.com), with data from Euan Adie. Examples from the Altmetric blog (http://www.altmetric.com/blog) are shown. For more information, visit Altmetric (http://www.altmetric.com).
Librarians & altmetrics: Tools, tips and use casesLibrary_Connect
Altmetrics are becoming an integral part of looking at the impact and reach of research. Tracking social and online outlets, altmetrics provide quick feedback from a wide range of sources. In this webinar, library experts will discuss how altmetrics work, tools available, and the application of altmetrics in a range of institutions and for various user groups. Watch the webinar: http://ow.ly/vNeax
ORCID iDs: Optimizing Research DiscoverabilityUCD Library
Presentation given by Michael Ladisch, Bibliographic Services Librarian at University College Dublin Library, Dublin Ireland at LIR Annual Seminar, March 21, 2014 in Dublin, Ireland.
A presentation given at the ACS CINF Meeting in Denver on March 22nd 2015
The authoring of a scientific publication can represent the culmination of many tens if not 100s of hours of data collection and analysis. The authoring and peer-review process itself often represents a major undertaking in terms of assembling the publication and passing through review. Considering the amount of work invested in the production of a scientific article it is therefore quite surprising that authors, post-publication, invest very little effort in communicating the value and potential impact of their article to the community. Social networking has clearly demonstrated the ability to self-market and drive attention. At the same time, the increasing volume of literature (over a million new articles are published every year), requires authors to take on a more direct role in ensuring their work gets read and cited. This requirement may grow with the emergence of a range of metrics at the article level, shifting attention away from where a researcher publishes to the performance of their individual articles. Therefore, a separate platform to facilitate social networking and other discovery tools to communicate the value of published science to the community would be of value. In parallel the possibility to enhance an article by linking to additional information (presentations, videos, blog posts etc) allows for enrichment of the article post-publication, a capability not available via the publishers platform. This presentation will provide a personal overview of the experiences of using the Kudos Platform and how it ultimately benefits my ability to communicate an integrated view of my research to the community.
A presentation on why I love Python for a lightning talk at https://www.facebook.com/KochiPython
Humour and Programming best practices are part of Python culture, we cannot separate the two :)
This presentation deals with every possible topics under JSON (JavaScript Object Notation) which every web developers should know.
It is presented by Rajasekhar who works at United Online as a Web Developer
A workshop from the MmIT 2016 conference "Digital Citizenship - What is the library's role?" held in Sheffield from 12-13 September 2016.
Changes in scholarly publishing have created a requirement for authors to leverage multiple digital tools in order to build their profile, identity, scholarship and impact within and beyond their institutions. This workshop provided an opportunity for delegates to discuss and reflect on tools which can be used to build an online scholarly presence.
Digital Scholarship: building an online scholarly presenceAlison McNab
A workshop from the MmIT 2016 conference "Digital Citizenship - What is the library's role?" held in Sheffield from 12-13 September 2016.
Changes in scholarly publishing have created a requirement for authors to leverage multiple digital tools in order to build their profile, identity, scholarship and impact within and beyond their institutions. This workshop provided an opportunity for delegates to discuss and reflect on tools which can be used to build an online scholarly presence.
Let's Work Together: UCD Research, UCD Library & AltmetricsUCD Library
Presentation given by Michael Ladisch, UCD Bibliographic Services Librarian, and Joseph Greene, UCD Research Repository Librarian, at CONUL Annual Seminar, June 3-4, 2015, Athlone, Ireland.
Changing trends in citation analysis and challenges in API measurementMunesh Kumar
Changing trends in citation analysis and challenges in API measurement article focused on the changing theme of citation analysis and evaluation of Altmetrics, and issues in academic performance Indicator (API).
Keynote at 4th Annual KnowEscape Conference, Sofia, Bulgaria (Feb 24, 2017). http://knowescape.org/knowescape2017/
Yes, we’re open: Open science & altmetrics
Abstract: Open Science is en vogue – especially after Carlos Moedas, EU-Commissioner for Research, Science and Innovation, has outlined his vision for Europe along the lines of ‘open innovation, open science, open to the world’. Open science describes the transition of ‘publishing as fast as possible’ towards ‘sharing knowledge as fast as possible’. Several reasons explain the move towards openness, it is expected, for example, that open science will increase the efficiency of science. Of course, digital media and web-based environments are keys to this development, but it also requires a systemic change to transform open science from a nice-to-have-feature into the default way of performing research. Altmetrics, i.e. social media-based metrics, are often considered drivers of open science and essential tools for changing the reward system in science. When looking closer, though, severe tensions between features as well as expectations of open science and altmetrics become apparent. The talk will argue that open science only can enfold its potential if ‘openness’ is fully embraced and supported by open metrics.
Introduction to Computational Social Science - Lecture 1Lauri Eloranta
First lecture of the course CSS01: Introduction to Computational Social Science at the University of Helsinki, Spring 2015. (http://blogs.helsinki.fi/computationalsocialscience/).
Lecturer: Lauri Eloranta
Questions & Comments: https://twitter.com/laurieloranta
Lecture on "Altmetrics: An Alternative View-Point to Assess Research Impact" in Five days Advanced Training Programme on Bibliometrics and Research Output Analysis during 15th - 20th June, 2015 at INFLIBNET Centre, Gandhinagar.
Science dissemination 2.0: Social media for researchers (MTM-MSc 2021)Xavier Lasauca i Cisa
In this workshop (Master in Translational Medicine-MSc, University of Barcelona's Faculty of Medicine-Hospital Clínic, 12 May 2021) I summarised the benefits which can be gained from use of social media (specially blogs,Twitter and other networks and repositories) to support research activities, and I provided examples of these innovative emerging socialnetwork sites as tools for scientific communication, as well as resources to increase the diffusion, visibility and impact of the scientific production. Structure of the lecture: Introduction,The digital revolution, Altmetrics, Open science, Active listening, Blogging, Microblogging (Twitter), Professional networking, Sharing, Health 2.0, Digital identity building, References to deepen and Conclusions.
Altmetrics / New metrics / Article-level metrics : a new metric of scholarly ...Eileen Shepherd
Altmetrics is a new measurement for the impact of scholarly content, based on how far and wide it travels through the social web, social bookmarking and collaboration tools. This presentation is a contribution to the continuing professional development (CPD) programme at Rhodes University Library, Grahamstown, South Africa.
Introduction to Altmetrics for Medical and Special LibrariansLinda Galloway
Altmetrics (or alternative citation metrics) provide new ways to track scholarly influence across a wide range of media and platforms. This presentation covers altmetric fundamentals, tips on connecting your users with altmetrics, and an overview of newly published research. Presented as part of the NN/LM MAR Boost Box Series; http://nnlm.gov/mar/training/boost_mar2014.pdf
Lecture 5: Mining, Analysis and VisualisationMarieke van Erp
This is the fourth lecture in the Social Web course at the VU University Amsterdam
Visit the website for more information: <a>Social Web 2012</a>
Science dissemination 2.0: Social media for researchers (MTM-MSc 2020)Xavier Lasauca i Cisa
In this workshop (Master in Translational Medicine-MSc, University of Barcelona's Faculty of Medicine-Hospital Clínic, 25 May 2020) I summarised the benefits which can be gained from use of social media (specially blogs,Twitter and other repositories) to support research activities, and I provided examples of these innovative emerging socialnetwork sites as tools for scientific communication, as well as resources to increase the diffusion, visibility and impact of the scientific production. Structure of the lecture: Introduction, The digital revolution, Altmetrics, Open science, Active listening, Blogging, Microblogging, Professional networking, Sharing, Health 2.0, , Digital identity building, References to deepen and Conclusions.
How can we mine, analyse and visualise the Social Web?
In this lecture, you will learn about mining social web data for analysis. Data preparation and gathering basic statistics on your data.
Scholar Plot –
Scalable Data Visualization Methods for Academic Careers
Kyeongan (Karl) Kwon
PhD Dissertation
Department of Computer Science
University of Houston
Monday July 18, 2016
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A Brief Review of ‘Social Networks for Scientists’
1. A BRIEF REVIEW OF ‘SOCIAL NETWORKS FOR SCIENTISTS’
Photo by @IBMbigdata
KEITA BANDO, THE 3RD SPARC JAPAN SEMINAR 2015, JANUARY 19 2016
2. OUTLINE
• Self-introduction
• Overview of
‘Social Networks for Scientists’
• Primary features of
‘Social Networks for Scientists’
• How librarians should engage with
‘Social Networks for Scientists’?
A BRIEF REVIEW OF ‘SOCIAL NETWORKS FOR SCIENTISTS’
Photo by @IBMbigdata
5. • Altmetrics: alternative ways of measuring scholarly impact based on the
social web, Journal of Information Processing and Management, 2012
DOI: 10.1241/johokanri.55.638
• ORCID Outreach Meeting and Codefest in Chicago, Journal of
Information Processing and Management, 2014
DOI: 10.1241/johokanri.57.423
• ResearchGate: SNS specialized for researchers with Repository function,
Current Awareness, 2015
DOI: 10.11501/9396323
MY PUBLICATIONS
ORCID.ORG/0000-0003-0485-8891
6. OUTLINE
A BRIEF REVIEW OF ‘SOCIAL NETWORKS FOR SCIENTISTS’
Photo by @IBMbigdata
• Self-introduction
• Overview of
‘Social Networks for Scientists’
• Primary features of
‘Social Networks for Scientists’
• How librarians should engage with
‘Social Networks for Scientists’?
7. … 2003 2004 2005 2006 2007 2008 …
THE HISTORY OF SOCIAL NETWORKS
18. WHAT DISCIPLINE(S) ARE YOU WORKING IN?
SURVEY DOI:10.6084/M9.FIGSHARE.1286826 (JUNE 2015)
19. OUTLINE
A BRIEF REVIEW OF ‘SOCIAL NETWORKS FOR SCIENTISTS’
Photo by @IBMbigdata
• Self-introduction
• Overview of
‘Social Networks for Scientists’
• Primary features of
‘Social Networks for Scientists’
• How librarians should engage with
‘Social Networks for Scientists’?
20. • Repository
• Collaborate
• Metrics
• Institution
OUTLINE
PRIMARY FEATURES OF ‘SOCIAL NETWORKS FOR SCIENTISTS’
Photo by @IBMbigdata
21.
22.
23.
24. CHOOSE WHETHER YOU’D LIKE TO ENTER AN EXISTING DOI OR GENERATE A NEW DOI.
VIA CELEBRATING FIVE MILLION MEMBERS WITH FREE DOIS - RESEARCHGATE (AUGUST 2014)
25. THE PLATFORM .. GIVE IT A UNIQUE IDENTIFIER (A VERSIONED DOI)
VIA PUT YOUR RESEARCH DATA ONLINE, WITH MENDELEY DATA! (NOVEMBER 2015)
26.
27. AUTHORS ARE DEPOSITING THEIR PAPERS IN THESE
WEBSITES INSTEAD OF THEIR OWN IR.
VIA NEW EDITION WITH UPDATED INFO (JANUARY 2015)
28.
29. A SOCIAL NETWORKING SITE IS
NOT AN OPEN ACCESS REPOSITORY
CC BY: THE UNIVERSITY OF CALIFORNIA OFFICE OF SCHOLARLY COMMUNICATION (DECEMBER 2015)
30. • Repository
• Collaborate
• Metrics
• Institution
OUTLINE
PRIMARY FEATURES OF ‘SOCIAL NETWORKS FOR SCIENTISTS’
Photo by @IBMbigdata
32. COLLABORATE WITH YOUR RESEARCH TEAM
EACH GROUP MEMBER IS ASSIGNED A DIFFERENT COLOR FOR HIGHLIGHTING
VIA INTRO TO MENDELEY (OFFICIAL EXTENDED) EDITED FOR UMICH
33. ANNOTATING THE SCHOLARLY WEB
SCIENTISTS COULD SCRIBBLE COMMENTS ON RESEARCH PAPERS AND SHARE THEM PUBLICLY ..
NATURE 528, 153–154 (03 DECEMBER 2015) DOI:10.1038/528153A
35. • Repository
• Collaborate
• Metrics
• Institution
OUTLINE
PRIMARY FEATURES OF ‘SOCIAL NETWORKS FOR SCIENTISTS’
Photo by @IBMbigdata
36. RG SCORE
THE RG SCORE IS A METRIC THAT MEASURES SCIENTIFIC REPUTATION BASED
ON HOW ALL OF YOUR RESEARCH IS RECEIVED BY YOUR PEERS.
37. INSTITUTIONS ON RESEARCHGATE
THIS LIST SHOWS INSTITUTIONS BY THE SUM OF THE RG SCORES OF THEIR
INDIVIDUAL MEMBERS USING RESEARCHGATE.
38. THE RG SCORE INCORPORATES THE JOURNAL IMPACT FACTOR TO EVALUATE
INDIVIDUAL RESEARCHERS.
VIA THE RESEARCHGATE SCORE: A GOOD EXAMPLE OF A BAD METRIC (DECEMBER 2015)
45. OUTLINE
A BRIEF REVIEW OF ‘SOCIAL NETWORKS FOR SCIENTISTS’
Photo by @IBMbigdata
• Self-introduction
• Overview of
‘Social Networks for Scientists’
• Primary features of
‘Social Networks for Scientists’
• How librarians should engage with
‘Social Networks for Scientists’?
50. • Institutional Repository
• Current Research Information
System
• Institutional Level Metrics
• Research support
• Anything else?
HOW LIBRARIANS SHOULD ENGAGE WITH
‘SOCIAL NETWORKS FOR SCIENTISTS’?
51. OUTLINE
A BRIEF REVIEW OF ‘SOCIAL NETWORKS FOR SCIENTISTS’
Photo by @IBMbigdata
• Self-introduction
• Overview of
‘Social Networks for Scientists’
• Primary features of
‘Social Networks for Scientists’
• How librarians should engage with
‘Social Networks for Scientists’?
52. A BRIEF REVIEW OF ‘SOCIAL NETWORKS FOR SCIENTISTS’
KEITA BANDO, THE 3RD SPARC JAPAN SEMINAR 2015, JANUARY 19 2016
Photo by @IBMbigdata