Science dissemination 2.0: Social media for researchers. Practical workshop.

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This practical workshop complements the lecture that I gave in University of Barcelona's Faculty of Medicine (Master in Translational Medicine-MSc Cellex, University of Barcelona-Hospìtal Clínic, 9 March 2016) where I summarised the benefits which can be gained from use of social media (specially blogs, Twitter and other socialnetwork sites) to support research activities, and I provided examples of these innovative emerging resources as tools for scientific communication related to translational medicine, as well as discussed their implications for digital scholarship. You can access to the lecture at: http://www.slideshare.net/xavierlasauca/science-dissemination-20-social-media-for-researchers-59551716

Sciences

Master in Translational Medicine-MSc CELLEX
UB’s Faculty of Medicine, 9 March 2016
Science dissemination 2.0
Practical Workshop
Social media for researchers
Xavier Lasauca i Cisa
@xavierlasauca
https://www.flickr.com/photos/nihgov/23595679440

http://commons.wikimedia.org/wiki/File:Introduction_%28Punch,_volume_1,_1841%29.png
Introduce yourself and say:
 Who you are and where you
work/study
 What your research interests
are
 What you hope to gain from
the session
About you

EXERCISE 1: Connect to feedly.com and create
your personal account. Subscribe to:
Blogs: Blog director NIH + The California Stem
Cell Agency blog
Universities: Institute for Translational
Medicine Univ. Chicago
Publications: Journal of Translational Medicine
+ Science journal
Research centers: IDIBAPS
Organize the recently created feeds in four
collections (Blogs, Universities, Publications,
Research centers)

#Communicate
The uses of Twitter for Science
https://www.flickr.com/photos/30767852@N00/3460078384/

Bio (biografia)
Timeline (cronologia)
Follower (seguidor)
Following (a qui segueixo)
Tweet (tuit, piulada)
Mention (menció)
Retweet (RT) (retuit, repiulada)
Like (m’agrada)
DM (missatge directe)
Hashtag (#) (etiqueta)
#FF (Follow Friday) (recomanació per
seguir)
Trending Topic (TT) (Tema del moment)
List (llista)
Unfollow(deixar de seguir)
#TwitterVocabulary
https://www.flickr.com/photos/bakerella/3330087454

Some tips…
• Do not exceed 120 characters
• Structure tweet: text + URL + hashtags
• Be very careful with spelling
• Include an image
https://www.flickr.com/photos/laughingsquid/5301039823

https://www.flickr.com/photos/krossbow/4365875125
https://www.flickr.com/photos/krossbow/4365875125

 Klout is a website and mobile app that uses social media
analytics to rank its users according to online social
influence via the "Klout Score“
 Numerical value between 1 and 100
 Klout uses Bing, Facebook, Foursquare, Google+,
Instagram, LinkedIn, Twitter, YouTube, and Wikipedia data
to create Klout user profiles that are assigned a unique
"Klout Score“.
 Klout has been criticised for the opacity of their
methodology.

 Influence Score and Platform created using
PeopleBrowsr technology
 Based on Twitter
 Kred is a dual score to distinguish a person's Influence
(the likelihood that someone will trust a person and act
upon their posts, 0-1000) and Outreach (the propensity
to share other people's content forward, 0-10)
 Provides influence measure based upon an openly-
published algorithm
KRED

Source: Social Media Analytics for R&D: a Catalan Vision (5-11-2012)

Over to you
In groups of 3 or 4 discuss:
• What concerns do you have about using
social media?
• What risks do you envisage?
• What limitations might social media have in
your research area?
https://www.flickr.com/photos/webtreatsetc/5121480745

http://www.flickr.com/photos/kugelfisch/3558561251/sizes/l
Xavier Lasauca i Cisa
www.xavierlasauca.cat
@xavierlasauca

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Las actividades de gestión de redes de un profesor universitario: (auto)promo...

Science dissemination 2.0: Social media for researchers. Practical workshop.

Eines 2.0 per comunicar l'activitat d'R+D+I

Eines 2.0 per comunicar la recerca

Cómo divulgar ciencia en la web 2.0

Blogs, xarxes socials i publicacions científiques

Com divulgar ciència en el web 2.0

Magic willmers presentation_30.06.16

Science & Society -- From Dissemination to Deliberation

Science communication-graduate

Gestió de la identitat digital per a la millora de l'impacte de la recerca

Dissemination 2.0 - the role of social media in research dissemination

New science communication: Research and Innovation in the Era of the Internet

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Sant Jordi 2015: 32 piulades de poesia

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How to Become a Successful Digital Scholar

Katja Reuter, PhD

This document discusses how researchers can become successful digital scholars by leveraging online tools and platforms. It provides examples of researchers who have used blogs to secure funding, crowdfunding to support research projects, and social media to disseminate findings and increase the reach and impact of their work. The document also outlines best practices for using tools like altmetrics and analytics platforms to track and measure the online engagement and influence of research.

Information Skills: 3. Social Media (Natural Sciences, Bangor University)

Vashti Zarach

Social media can be useful for academics to follow relevant individuals and organizations, stay up to date on new research, and promote their own work. Twitter allows following others to see short updates and links to new articles. Academia.edu, ResearchGate, and Mendeley are sites where researchers can upload works, follow others in their field, and access research. It is beneficial to create profiles on sites like Google Scholar Citations and LinkedIn to track downloads, citations, and professional connections that can enhance research. While digital footprints require careful management, online networks can foster valuable international collaborations.

Disseminating Research and Managing Your Online Reputation

Katja Reuter, PhD

This slide deck was presented at the 2017 ACR/ARHP Annual Meeting. It provided a general overview of the topic and addresses the following learning objectives include: (1) Understand the potential and limitations of digital dissemination of research; (2) Understand relevant health content regulations, guidelines and ethics, (3) Understand the concept of and tools for measuring the results of one’s digital efforts, and (4) Understand the concept of and tools for online reputation management.

Use of social media by scholarly authors

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The Digital Academic: The opportunities for scholarly communication, discussi...

Andy Tattersall

The document discusses the changing landscape of academic scholarship in the digital age. New opportunities include open access publishing, altmetrics, research data management, and using social media and online platforms to collaborate and disseminate work more broadly. While technologies offer benefits, academics are advised to thoughtfully consider how and why to adopt new tools. Overall, digital tools can help increase the impact and visibility of research if used strategically.

Using Social Media to Increase your Research Impact

Michelle Dalton

This document discusses how using social media can help increase the impact of research. It recommends blogging to build reputation, using Twitter for dissemination and engagement, and tracking altmetrics to measure different types of impact beyond citations. Altmetrics can provide real-time indicators of a paper's impact and capture how research is engaging various audiences. In the future, more types of scholarly contributions will be tracked and valued, beyond traditional citations. Social media is a way for researchers to promote their work, engage with other experts, and discover new topics and potential collaborators.

Introduction to Social Media for Researchers

Helen Dixon

Engaging with Patients Online: The do’s and don’t’s, and what’s to gain

Katja Reuter, PhD

These slides were presented at the the Annual Meeting of the American College of Rheumatology (ACR) and Association of Rheumatology Health Professionals (ARHP) on Nov 15, 2016 in Washington DC. The presentation highlights ways in which physician-scientists may reach and engage patients online for different purposes such as health promotion, study recruitment, attracting patients, and reputation building. The presentation also touches upon tracking online activities for performance reviews and responding to negative reviews.

Workshop key actions to support and share your TEL research

Mikhail Fominykh

Workshop at jTEL summer school on Technology Enhanced Learning 2014 Authors: Maria Perifanou http://www.slideshare.net/mariaperif/ Mikhail Fominykh http://www.slideshare.net/mfominykh/ Ana Loureiro http://www.slideshare.net/accloureiro/ Abstract: The workshop is targeted for students interested in getting to learn about the basic principles of sharing research and the strategies and tools for that. Several ways of sharing and presenting research will be presented to illustrate the basic principles and the variety of the forms. Then, the strategies for using social media and content curation for enhancing research will be presented. The workshop will also include several practical activities.

Disseminating Scientific Research via Twitter: Research Evidence and Practica...

Katja Reuter, PhD

About one-fifth of current scientific papers are being shared on Twitter. With nearly 69 million active U.S. Twitter users (24% of the U.S. adult population) and 328 million monthly active users worldwide, Twitter is one of the biggest social networks worldwide. Understandably, hopes are high that tweets mentioning scientific articles and research findings can reach peers and the general public. Studies show that most of the engagement with scientific papers on Twitter takes place among members of academia and thus reflects visibility within the scientific community rather than impact on society. However, there are ways to reach the broader public. This webinar will provide an overview of using Twitter to reach peers and non-specialist groups, the relationship between tweets and citations, and provide tips for building an academic Twitter presence. Speaker: Katja Reuter, PhD, Assistant Professor of Clinical Preventive Medicine at the Institute for Health Promotion and Disease Prevention Research in the Department of Preventive Medicine at the Keck School of Medicine of USC; Director of Digital Innovation and Communication for the Southern California Clinical and Translational Research Institute (SC CTSI). Learning objectives: 1. Describe the strengths and limitations of using Twitter for the dissemination of scientific research. 2. Describe practical approaches for building an academic presence on Twitter. 3. Describe approaches to identify and reach different audiences on Twitter.

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Edward Rybicki

This document discusses how social media can help with self-advancement in research. It describes various social media tools like blogs, Twitter, Facebook, SlideShare, and Pinterest. It explains that using social media can help improve traditional metrics like citations and downloads by increasing online visibility. Social media also enhances professional networking by facilitating real-world interactions from online discussions. The document provides advice for new users, like exploring guides, establishing a professional website, finding relevant conversations, and managing information overload. It recommends establishing profiles on LinkedIn, Academia.edu, and ResearchGate to increase findability and exposure.

Using social media to enhance your research profile

Helen Dixon

This document discusses how researchers can use social media to enhance their research profile and disseminate their work. It recommends establishing an online presence through platforms like ORCID and Impactstory, making research openly accessible through blogging and figshare, and creating shareable content. The document also suggests tracking research impact using metrics like altmetrics and Google Scholar citations, and nurturing networks through social media engagement. Finally, it provides guidance on properly incorporating social media into an outreach strategy while respecting policy and best practices.

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Cse2011 social mediafinal

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This document discusses how to effectively measure the impact of social media outreach through a blend of quantitative and qualitative metrics. It provides examples of metrics to track, such as website traffic, share of voice, and level of engagement. Tools are presented for monitoring social media presence, analyzing blogs and clicks/shares, and tracking how content ranks. A case study demonstrates how the journal Clinical Chemistry has implemented social media and analyzes the results.

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Discovery of An Apparent Red, High-Velocity Type Ia Supernova at 𝐳 = 2.9 wi...

Sérgio Sacani

We present the JWST discovery of SN 2023adsy, a transient object located in a host galaxy JADES-GS + 53.13485 − 27.82088 with a host spectroscopic redshift of 2.903 ± 0.007 . The transient was identified in deep James Webb Space Telescope (JWST)/NIRCam imaging from the JWST Advanced Deep Extragalactic Survey (JADES) program. Photometric and spectroscopic followup with NIRCam and NIRSpec, respectively, confirm the redshift and yield UV-NIR light-curve, NIR color, and spectroscopic information all consistent with a Type Ia classification. Despite its classification as a likely SN Ia, SN 2023adsy is both fairly red ( � ⁢ ( � − � ) ∼ 0.9 ) despite a host galaxy with low-extinction and has a high Ca II velocity ( 19 , 000 ± 2 , 000 km/s) compared to the general population of SNe Ia. While these characteristics are consistent with some Ca-rich SNe Ia, particularly SN 2016hnk, SN 2023adsy is intrinsically brighter than the low- � Ca-rich population. Although such an object is too red for any low- � cosmological sample, we apply a fiducial standardization approach to SN 2023adsy and find that the SN 2023adsy luminosity distance measurement is in excellent agreement ( ≲ 1 ⁢ � ) with Λ CDM. Therefore unlike low- � Ca-rich SNe Ia, SN 2023adsy is standardizable and gives no indication that SN Ia standardized luminosities change significantly with redshift. A larger sample of distant SNe Ia is required to determine if SN Ia population characteristics at high- � truly diverge from their low- � counterparts, and to confirm that standardized luminosities nevertheless remain constant with redshift.

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Sérgio Sacani

Recent theoretical progress indicates that spacetime and gravity emerge together from the entanglement structure of an underlying microscopic theory. These ideas are best understood in Anti-de Sitter space, where they rely on the area law for entanglement entropy. The extension to de Sitter space requires taking into account the entropy and temperature associated with the cosmological horizon. Using insights from string theory, black hole physics and quantum information theory we argue that the positive dark energy leads to a thermal volume law contribution to the entropy that overtakes the area law precisely at the cosmological horizon. Due to the competition between area and volume law entanglement the microscopic de Sitter states do not thermalise at sub-Hubble scales: they exhibit memory effects in the form of an entropy displacement caused by matter. The emergent laws of gravity contain an additional ‘dark’ gravitational force describing the ‘elastic’ response due to the entropy displacement. We derive an estimate of the strength of this extra force in terms of the baryonic mass, Newton’s constant and the Hubble acceleration scale a0 = cH0, and provide evidence for the fact that this additional ‘dark gravity force’ explains the observed phenomena in galaxies and clusters currently attributed to dark matter.

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Neutralizing antibodies, pivotal in immune defense, specifically bind and inhibit viral pathogens, thereby playing a crucial role in protecting against and mitigating infectious diseases. In this slide, we will introduce what antibodies and neutralizing antibodies are, the production and regulation of neutralizing antibodies, their mechanisms of action, classification and applications, as well as the challenges they face.

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SDSS1335+0728: The awakening of a ∼ 106M⊙ black hole⋆

Sérgio Sacani

Context. The early-type galaxy SDSS J133519.91+072807.4 (hereafter SDSS1335+0728), which had exhibited no prior optical variations during the preceding two decades, began showing significant nuclear variability in the Zwicky Transient Facility (ZTF) alert stream from December 2019 (as ZTF19acnskyy). This variability behaviour, coupled with the host-galaxy properties, suggests that SDSS1335+0728 hosts a ∼ 106M⊙ black hole (BH) that is currently in the process of ‘turning on’. Aims. We present a multi-wavelength photometric analysis and spectroscopic follow-up performed with the aim of better understanding the origin of the nuclear variations detected in SDSS1335+0728. Methods. We used archival photometry (from WISE, 2MASS, SDSS, GALEX, eROSITA) and spectroscopic data (from SDSS and LAMOST) to study the state of SDSS1335+0728 prior to December 2019, and new observations from Swift, SOAR/Goodman, VLT/X-shooter, and Keck/LRIS taken after its turn-on to characterise its current state. We analysed the variability of SDSS1335+0728 in the X-ray/UV/optical/mid-infrared range, modelled its spectral energy distribution prior to and after December 2019, and studied the evolution of its UV/optical spectra. Results. From our multi-wavelength photometric analysis, we find that: (a) since 2021, the UV flux (from Swift/UVOT observations) is four times brighter than the flux reported by GALEX in 2004; (b) since June 2022, the mid-infrared flux has risen more than two times, and the W1−W2 WISE colour has become redder; and (c) since February 2024, the source has begun showing X-ray emission. From our spectroscopic follow-up, we see that (i) the narrow emission line ratios are now consistent with a more energetic ionising continuum; (ii) broad emission lines are not detected; and (iii) the [OIII] line increased its flux ∼ 3.6 years after the first ZTF alert, which implies a relatively compact narrow-line-emitting region. Conclusions. We conclude that the variations observed in SDSS1335+0728 could be either explained by a ∼ 106M⊙ AGN that is just turning on or by an exotic tidal disruption event (TDE). If the former is true, SDSS1335+0728 is one of the strongest cases of an AGNobserved in the process of activating. If the latter were found to be the case, it would correspond to the longest and faintest TDE ever observed (or another class of still unknown nuclear transient). Future observations of SDSS1335+0728 are crucial to further understand its behaviour. Key words. galaxies: active– accretion, accretion discs– galaxies: individual: SDSS J133519.91+072807.4

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The pathway(s) to seeding the massive black holes (MBHs) that exist at the heart of galaxies in the present and distant Universe remains an unsolved problem. Here we categorise, describe and quantitatively discuss the formation pathways of both light and heavy seeds. We emphasise that the most recent computational models suggest that rather than a bimodal-like mass spectrum between light and heavy seeds with light at one end and heavy at the other that instead a continuum exists. Light seeds being more ubiquitous and the heavier seeds becoming less and less abundant due the rarer environmental conditions required for their formation. We therefore examine the different mechanisms that give rise to different seed mass spectrums. We show how and why the mechanisms that produce the heaviest seeds are also among the rarest events in the Universe and are hence extremely unlikely to be the seeds for the vast majority of the MBH population. We quantify, within the limits of the current large uncertainties in the seeding processes, the expected number densities of the seed mass spectrum. We argue that light seeds must be at least 103 to 105 times more numerous than heavy seeds to explain the MBH population as a whole. Based on our current understanding of the seed population this makes heavy seeds (Mseed > 103 M⊙) a significantly more likely pathway given that heavy seeds have an abundance pattern than is close to and likely in excess of 10−4 compared to light seeds. Finally, we examine the current state-of-the-art in numerical calculations and recent observations and plot a path forward for near-future advances in both domains.

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Description: Dive into the fascinating realm of solid-state physics with our meticulously crafted online PowerPoint presentation. This immersive educational resource offers a comprehensive exploration of the fundamental concepts, theories, and applications within the realm of solid-state physics. From crystalline structures to semiconductor devices, this presentation delves into the intricate principles governing the behavior of solids, providing clear explanations and illustrative examples to enhance understanding. Whether you're a student delving into the subject for the first time or a seasoned researcher seeking to deepen your knowledge, our presentation offers valuable insights and in-depth analyses to cater to various levels of expertise. Key topics covered include: Crystal Structures: Unravel the mysteries of crystalline arrangements and their significance in determining material properties. Band Theory: Explore the electronic band structure of solids and understand how it influences their conductive properties. Semiconductor Physics: Delve into the behavior of semiconductors, including doping, carrier transport, and device applications. Magnetic Properties: Investigate the magnetic behavior of solids, including ferromagnetism, antiferromagnetism, and ferrimagnetism. Optical Properties: Examine the interaction of light with solids, including absorption, reflection, and transmission phenomena. With visually engaging slides, informative content, and interactive elements, our online PowerPoint presentation serves as a valuable resource for students, educators, and enthusiasts alike, facilitating a deeper understanding of the captivating world of solid-state physics. Explore the intricacies of solid-state materials and unlock the secrets behind their remarkable properties with our comprehensive presentation.

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We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.

The cost of acquiring information by natural selection

Carl Bergstrom

This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome. It's based on the first part of this research paper: The cost of information acquisition by natural selection Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577

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Insectsplayamajorroleinthedeteriorationoffoodgrainscausingbothquantitativeandqualitativelosses Wellprovedthatnogranariescanbefilledwithgrainswithoutinsectsastheharvestedproducecontainegg(or)larvae(or)pupae(or)adultinsectinthembecauseoffieldcarryoverinfestationwhichcannotbeavoidedindevelopingcountrieslikeIndia Simpletechnologiesfortimelydetectionofinsectsinthestoredproduceandtherebyplantimelycontrolmeasures

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学校原件一模一样【微信：741003700 】《(UAM毕业证书)马德里自治大学毕业证学位证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。本公司拥有海外各大学样板无数，能完美还原。 1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700 【主营项目】一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！二.真实使馆公证(即留学回国人员证明,不成功不收费) 三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度) 如果您处于以下几种情况： ◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】 ◇面对父母的压力，希望尽快拿到； ◇不清楚认证流程以及材料该如何准备； ◇回国时间很长，忘记办理； ◇回国马上就要找工作，办给用人单位看； ◇企事业单位必须要求办理的 ◇需要报考公务员、购买免税车、落转户口 ◇申请留学生创业基金留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才

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快速办理(UAM毕业证书)马德里自治大学毕业证学位证一模一样

Science dissemination 2.0: Social media for researchers. Practical workshop.

1. Master in Translational Medicine-MSc CELLEX UB’s Faculty of Medicine, 9 March 2016 Science dissemination 2.0 Practical Workshop Social media for researchers Xavier Lasauca i Cisa @xavierlasauca https://www.flickr.com/photos/nihgov/23595679440

2. http://commons.wikimedia.org/wiki/File:Introduction_%28Punch,_volume_1,_1841%29.png Introduce yourself and say:  Who you are and where you work/study  What your research interests are  What you hope to gain from the session About you

4. #Listen

5. http://feedly.com

6. EXERCISE 1: Connect to feedly.com and create your personal account. Subscribe to: Blogs: Blog director NIH + The California Stem Cell Agency blog Universities: Institute for Translational Medicine Univ. Chicago Publications: Journal of Translational Medicine + Science journal Research centers: IDIBAPS Organize the recently created feeds in four collections (Blogs, Universities, Publications, Research centers)

7. #Communicate The uses of Twitter for Science https://www.flickr.com/photos/30767852@N00/3460078384/

9. Bio (biografia) Timeline (cronologia) Follower (seguidor) Following (a qui segueixo) Tweet (tuit, piulada) Mention (menció) Retweet (RT) (retuit, repiulada) Like (m’agrada) DM (missatge directe) Hashtag (#) (etiqueta) #FF (Follow Friday) (recomanació per seguir) Trending Topic (TT) (Tema del moment) List (llista) Unfollow(deixar de seguir) #TwitterVocabulary https://www.flickr.com/photos/bakerella/3330087454

10. The Bio

11. The Timeline RT Mention

12. Likes

13. Trends (TT), DM TT

14. Twitter lists

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17. Some tips… • Do not exceed 120 characters • Structure tweet: text + URL + hashtags • Be very careful with spelling • Include an image https://www.flickr.com/photos/laughingsquid/5301039823

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28. http://www.keepcalm-o-matic.co.uk/p/keep-calm-and-follow-my-twitter-1/ EXERCISE 2: Sign up to Twitter from twitter.com 1. Follow ten accounts (@idibaps, @MasterTMedicine, @hospitalclinic…) 2. Add an image and fill in the bio (View profile – edit profile) 3. Go to @idibaps @crgenomica @stemcellsTM and RT two tweets and Like two tweets more 4. Send two DM to colleagues of workshop 5. Send your first tweet 6. Subscribe to a list of @xavierlasauca 7. Create one list and add 5 accounts

29. https://www.flickr.com/photos/krossbow/4365875125 https://www.flickr.com/photos/krossbow/4365875125

30.  Klout is a website and mobile app that uses social media analytics to rank its users according to online social influence via the "Klout Score“  Numerical value between 1 and 100  Klout uses Bing, Facebook, Foursquare, Google+, Instagram, LinkedIn, Twitter, YouTube, and Wikipedia data to create Klout user profiles that are assigned a unique "Klout Score“.  Klout has been criticised for the opacity of their methodology.

31.

32.  Influence Score and Platform created using PeopleBrowsr technology  Based on Twitter  Kred is a dual score to distinguish a person's Influence (the likelihood that someone will trust a person and act upon their posts, 0-1000) and Outreach (the propensity to share other people's content forward, 0-10)  Provides influence measure based upon an openly- published algorithm KRED

33. Source: Social Media Analytics for R&D: a Catalan Vision (5-11-2012)

34. https://about.me/xavier.lasauca

35. Over to you In groups of 3 or 4 discuss: • What concerns do you have about using social media? • What risks do you envisage? • What limitations might social media have in your research area? https://www.flickr.com/photos/webtreatsetc/5121480745

36. http://www.flickr.com/photos/kugelfisch/3558561251/sizes/l Xavier Lasauca i Cisa www.xavierlasauca.cat @xavierlasauca