Altmetrics are here: are you ready to help your faculty? [ALA Research & Statistics Webinar, 4/10/2014]

•

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Scholarship is changing, along with the way we measure impact. This webinar explores altmetrics and the crucial role librarians have in helping faculty navigate these changes.

Ciências Tecnologia Negócios

Altmetrics are here
Are you ready to help your faculty?
4/10/2014
Stacy Konkiel
@skonkiel / stacy@impactstory.org
All content in this work is licensed under a
Creative Commons Attribution 4.0 International
License unless otherwise indicated.

Michael McRobbie, President, Indiana University

TODAY’S SCIENCE IS BORN-
DIGITAL & INCREASINGLY
WEB-NATIVE

Science Communication Lifecycle
Data
Analysis
Stories
Conversation

What does this mean for Erin?
CCBY-NC-NDErinC.McKiernan

Web-native products accelerate science
© http://jackandraka.net/

It used to be simplistic
Audience
Scholarly
Measure of Impact
Citing articles
Journal impact factors

But what about...
Different audiences? Different types of
engagement?
views, discussion,
saves, citation,
recommendation
scholars, public

We return to our question:
HOW CAN FACULTY
CAPTURE THESE IMPACTS?

scholarly public
recommended faculty of 1000 popular press
cited traditional citatio
n
wikipedia
discussed scholarly blogs blogs, twitter
saved mendeley,
citeulike
delicious
read pdf views html views
Altmetrics measure impact...

Data
Analysis
Stories
Conversation
...along every step of the cycle

Post-pub peer review
Brookes PS. (2014) Internet
publicity of data problems in the
bioscience literature correlates
with enhanced corrective
action. PeerJ 2:e313 http://dx.
doi.org/10.7717/peerj.313

We return again to our question:
HOW CAN FACULTY
CAPTURE THESE IMPACTS?

Let’s explore...
HOW CAN LIBRARIANS HELP
FACULTY UNDERSTAND
THESE IMPACTS?

Edmund Hillary and Tenzig Norgay © Tenzig Norgay

Understand altmetrics
Correlations between metrics
Thelwall M, Haustein S, Larivière V, Sugimoto CR (2013) Do Altmetrics
Work? Twitter and Ten Other Social Web Services. PLoS ONE 8(5): e64841.
doi:10.1371/journal.pone.0064841
Jason Priem, Heather A. Piwowar, Bradley M. Hemminger. (2012). Altmetrics
in the wild: Using social media to explore scholarly impact. http://arxiv.
org/abs/1203.4745
Why scholars use social media
Shema H, Bar-Ilan J, Thelwall M (2012) Research Blogs and the Discussion
of Scholarly Information. PLoS ONE 7(5): e35869. doi:10.1371/journal.pone.
0035869
Mohammadi, E. and Thelwall, M. (2014), Mendeley readership altmetrics for
the social sciences and humanities: Research evaluation and knowledge
flows. Journal of the Association for Information Science and Technology. doi:
10.1002/asi.23071

Know when (& which) altmetrics are
appropriate to use
scholarly public
recommended faculty of 1000 popular press
cited Scopus/
Web of Knowledge/
Google Scholar citation
wikipedia
discussed scholarly blogs blogs, twitter
saved mendeley, citeulike delicious
read pdf views html views

CC BY-SA Igomezc
What’s cutting-edge today
will be commonplace soon.

Thanks!
Get in touch:
stacy@impactstory.org
@skonkiel
impactstory.org
@impactstory

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Formation of low mass protostars and their circumstellar disks

Sérgio Sacani

Context. Determining the size distribution of asteroids is key to understanding the collisional history and evolution of the inner Solar System. Aims. We aim to improve our knowledge of the size distribution of small asteroids in the main belt by determining the parallaxes of newly detected asteroids in the Hubble Space Telescope (HST) archive and subsequently their absolute magnitudes and sizes. Methods. Asteroids appear as curved trails in HST images because of the parallax induced by the fast orbital motion of the spacecraft. Taking into account the trajectory of this latter, the parallax effect can be computed to obtain the distance to the asteroids by fitting simulated trajectories to the observed trails. Using distance, we can obtain the absolute magnitude of an object and an estimation of its size assuming an albedo value, along with some boundaries for its orbital parameters. Results. In this work, we analyse a set of 632 serendipitously imaged asteroids found in the ESA HST archive. Images were captured with the ACS/WFC and WFC3/UVIS instruments. A machine learning algorithm (trained with the results of a citizen science project) was used to detect objects in these images as part of a previous study. Our raw data consist of 1031 asteroid trails from unknown objects, not matching any entries in the Minor Planet Center (MPC) database using their coordinates and imaging time. We also found 670 trails from known objects (objects featuring matching entries in the MPC). After an accuracy assessment and filtering process, our analysed HST asteroid set consists of 454 unknown objects and 178 known objects. We obtain a sample dominated by potential main belt objects featuring absolute magnitudes (H) mostly between 15 and 22 mag. The absolute magnitude cumulative distribution logN(H > H0) ∝ αlog(H0) confirms the previously reported slope change for 15 < H < 18, from α ≈ 0.56 to α ≈ 0.26, maintained in our case down to absolute magnitudes of around H ≈ 20, and therefore expanding the previous result by approximately two magnitudes. Conclusions. HST archival observations can be used as an asteroid survey because the telescope pointings are statistically randomly oriented in the sky and cover long periods of time. They allow us to expand the current best samples of astronomical objects at no extra cost in regard to telescope time.

Hubble Asteroid Hunter III. Physical properties of newly found asteroids

Sérgio Sacani

RecoveringancientrecordsofEarth'smagneticfieldisessentialfordeterminingtheroleofthemagnetosphereinprotectingearlyEarthfromcosmicradiationandatmosphericescape.WepresentpaleomagneticfieldtestshintingthatarecordofEarth's3.7‐billion‐year(Ga)oldmagneticfieldmaybepreservedinthenortheasternIsuaSupracrustalBeltasachemicalremanentmagnetizationacquiredduringamphibolite‐grademetamorphisminthebandedironformation.MultiplepetrologicalandgeochronologicallinesofevidenceindicatethatthenorthernmostpartofIsuahasnotexperiencedmetamorphictemperaturesexceeding380°CsincetheEoarchean,suggestingtherockshavenotbeensignificantlyheatedsincemagnetizationwasacquired.Weuse“pseudo”bakedcontacttests(intrusionsemplaced3.26–3.5Gaago)andafoldtest(folding3.6Gaago)todemonstratethatsomesamplespreserveaca.3.7Garecordofthemagneticfield.Werecoverafieldstrengthof>15μT.ThissuggeststhatEarth'smagneticfieldmayhavebeenweakenoughtoenhanceatmosphericescapeduringtheArchean

PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...

Sérgio Sacani

A botany file is similar to a chemistry practical file but specifically focuses on experiments and observations related to plants. It typically includes detailed descriptions of plant-related experiments, such as germination studies, growth experiments, tissue culture techniques, plant anatomy investigations, and ecological surveys. The file may contain records of plant specimens collected, their classification, characteristics, and ecological significance. Additionally, it may include diagrams, photographs, drawings, tables, and data analysis related to plant research. Like a chemistry practical file, a botany file serves as a documentation of practical work conducted in the field of botany and is often used for assessment and educational purposes.

Botany 4th semester file By Sumit Kumar yadav.pdf

Sumit Kumar yadav

Context. WASP-76 b has been a recurrent subject of study since the detection of a signature in high-resolution transit spectroscopy data indicating an asymmetry between the two limbs of the planet. The existence of this asymmetric signature has been confirmed by multiple studies, but its physical origin is still under debate. In addition, it contrasts with the absence of asymmetry reported in the infrared (IR) phase curve. Aims. We provide a more comprehensive dataset of WASP-76 b with the goal of drawing a complete view of the physical processes at work in this atmosphere. In particular, we attempt to reconcile visible high-resolution transit spectroscopy data and IR broadband phase curves. Methods. We gathered 3 phase curves, 20 occultations, and 6 transits for WASP-76 b in the visible with the CHEOPS space telescope. We also report the analysis of three unpublished sectors observed by the TESS space telescope (also in the visible), which represents 34 phase curves. Results. WASP-76 b displays an occultation of 260±11 and 152±10 ppm in TESS and CHEOPS bandpasses respectively. Depending on the composition assumed for the atmosphere and the data reduction used for the IR data, we derived geometric albedo estimates that range from 0.05 ± 0.023 to 0.146 ± 0.013 and from <0.13 to 0.189 ± 0.017 in the CHEOPS and TESS bandpasses, respectively. As expected from the IR phase curves, a low-order model of the phase curves does not yield any detectable asymmetry in the visible either. However, an empirical model allowing for sharper phase curve variations offers a hint of a flux excess before the occultation, with an amplitude of ∼40 ppm, an orbital offset of ∼−30◦ , and a width of ∼20◦ . We also constrained the orbital eccentricity of WASP-76 b to a value lower than 0.0067, with a 99.7% confidence level. This result contradicts earlier proposed scenarios aimed at explaining the asymmetry observed in high-resolution transit spectroscopy. Conclusions. In light of these findings, we hypothesise that WASP-76 b could have night-side clouds that extend predominantly towards its eastern limb. At this limb, the clouds would be associated with spherical droplets or spherically shaped aerosols of an unknown species, which would be responsible for a glory effect in the visible phase curves.

Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b

Sérgio Sacani

Altmetrics are here: are you ready to help your faculty? [ALA Research & Statistics Webinar, 4/10/2014]

1. Altmetrics are here Are you ready to help your faculty? 4/10/2014 Stacy Konkiel @skonkiel / stacy@impactstory.org All content in this work is licensed under a Creative Commons Attribution 4.0 International License unless otherwise indicated.

2. Michael McRobbie, President, Indiana University

3. CC-BY Maria Ly

4. TODAY’S SCIENCE IS BORN- DIGITAL & INCREASINGLY WEB-NATIVE

5. Science Communication Lifecycle Data Analysis Stories Conversation

6. What does this mean for Erin? CCBY-NC-NDErinC.McKiernan

7. Data

8. Analysis

9. Stories

10. Conversations

12. HOW CAN FACULTY CAPTURE THESE IMPACTS?

13. It used to be simplistic Audience Scholarly Measure of Impact Citing articles Journal impact factors

14. CC-BY-SA xueexueg

15. But what about... Different audiences? Different types of engagement? views, discussion, saves, citation, recommendation scholars, public

16. CC-BY Mel Orr

17. We return to our question: HOW CAN FACULTY CAPTURE THESE IMPACTS?

18. scholarly public recommended faculty of 1000 popular press cited traditional citatio n wikipedia discussed scholarly blogs blogs, twitter saved mendeley, citeulike delicious read pdf views html views Altmetrics measure impact...

19. Data Analysis Stories Conversation ...along every step of the cycle

20. Citations

21. Downloads & Pageviews

22. Post-pub peer review

23. Post-pub peer review Brookes PS. (2014) Internet publicity of data problems in the bioscience literature correlates with enhanced corrective action. PeerJ 2:e313 http://dx. doi.org/10.7717/peerj.313

24. Software usage

25. Readership stats

26. We return again to our question: HOW CAN FACULTY CAPTURE THESE IMPACTS?

27. Let’s explore... HOW CAN LIBRARIANS HELP FACULTY UNDERSTAND THESE IMPACTS?

29. Understand altmetrics Correlations between metrics Thelwall M, Haustein S, Larivière V, Sugimoto CR (2013) Do Altmetrics Work? Twitter and Ten Other Social Web Services. PLoS ONE 8(5): e64841. doi:10.1371/journal.pone.0064841 Jason Priem, Heather A. Piwowar, Bradley M. Hemminger. (2012). Altmetrics in the wild: Using social media to explore scholarly impact. http://arxiv. org/abs/1203.4745 Why scholars use social media Shema H, Bar-Ilan J, Thelwall M (2012) Research Blogs and the Discussion of Scholarly Information. PLoS ONE 7(5): e35869. doi:10.1371/journal.pone. 0035869 Mohammadi, E. and Thelwall, M. (2014), Mendeley readership altmetrics for the social sciences and humanities: Research evaluation and knowledge flows. Journal of the Association for Information Science and Technology. doi: 10.1002/asi.23071

30. Know when (& which) altmetrics are appropriate to use scholarly public recommended faculty of 1000 popular press cited Scopus/ Web of Knowledge/ Google Scholar citation wikipedia discussed scholarly blogs blogs, twitter saved mendeley, citeulike delicious read pdf views html views

31. Learn & teach the tools

32. Learn & teach the tools

33. CC BY-SA Igomezc What’s cutting-edge today will be commonplace soon.

34. Thanks! Get in touch: stacy@impactstory.org @skonkiel impactstory.org @impactstory

Altmetrics are here: are you ready to help your faculty? [ALA Research & Statistics Webinar, 4/10/2014]

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