12,083 research outputs found
How the Scientific Community Reacts to Newly Submitted Preprints: Article Downloads, Twitter Mentions, and Citations
We analyze the online response to the preprint publication of a cohort of
4,606 scientific articles submitted to the preprint database arXiv.org between
October 2010 and May 2011. We study three forms of responses to these
preprints: downloads on the arXiv.org site, mentions on the social media site
Twitter, and early citations in the scholarly record. We perform two analyses.
First, we analyze the delay and time span of article downloads and Twitter
mentions following submission, to understand the temporal configuration of
these reactions and whether one precedes or follows the other. Second, we run
regression and correlation tests to investigate the relationship between
Twitter mentions, arXiv downloads and article citations. We find that Twitter
mentions and arXiv downloads of scholarly articles follow two distinct temporal
patterns of activity, with Twitter mentions having shorter delays and narrower
time spans than arXiv downloads. We also find that the volume of Twitter
mentions is statistically correlated with arXiv downloads and early citations
just months after the publication of a preprint, with a possible bias that
favors highly mentioned articles.Comment: 15 pages, 7 Figures, 3 Tables. PLoS One, in pres
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Collaborative yet independent: Information practices in the physical sciences
In many ways, the physical sciences are at the forefront of using digital tools and methods to work with information and data. However, the fields and disciplines that make up the physical sciences are by no means uniform, and physical scientists find, use, and disseminate information in a variety of ways. This report examines information practices in the physical sciences across seven cases, and demonstrates the richly varied ways in which physical scientists work, collaborate, and share information and data.
This report details seven case studies in the physical sciences. For each case, qualitative interviews and focus groups were used to understand the domain. Quantitative data gathered from a survey of participants highlights different information strategies employed across the cases, and identifies important software used for research.
Finally, conclusions from across the cases are drawn, and recommendations are made. This report is the third in a series commissioned by the Research Information Network (RIN), each looking at information practices in a specific domain (life sciences, humanities, and physical sciences). The aim is to understand how researchers within a range of disciplines find and use information, and in particular how that has changed with the introduction of new technologies
Unproceedings of the Fourth .Astronomy Conference (.Astronomy 4), Heidelberg, Germany, July 9-11 2012
The goal of the .Astronomy conference series is to bring together
astronomers, educators, developers and others interested in using the Internet
as a medium for astronomy. Attendance at the event is limited to approximately
50 participants, and days are split into mornings of scheduled talks, followed
by 'unconference' afternoons, where sessions are defined by participants during
the course of the event. Participants in unconference sessions are discouraged
from formal presentations, with discussion, workshop-style formats or informal
practical tutorials encouraged. The conference also designates one day as a
'hack day', in which attendees collaborate in groups on day-long projects for
presentation the following morning. These hacks are often a way of
concentrating effort, learning new skills, and exploring ideas in a practical
fashion. The emphasis on informal, focused interaction makes recording
proceedings more difficult than for a normal meeting. While the first
.Astronomy conference is preserved formally in a book, more recent iterations
are not documented. We therefore, in the spirit of .Astronomy, report
'unproceedings' from .Astronomy 4, which was held in Heidelberg in July 2012.Comment: 11 pages, 1 figure, .Astronomy 4, #dotastr
Transcript of keynote speech, "Don't Lecture Me"
Keynote speech given by Donald Clark at “Into something rich and strange” – making sense of the sea-change, the 2010 Association for Learning Technology Conference in Nottingham, England. In the chair, Vanessa Pittard, Bect
Emergent user behavior on Twitter modelled by a stochastic differential equation
Data from the social-media site, Twitter, is used to study the fluctuations
in tweet rates of brand names. The tweet rates are the result of a strongly
correlated user behavior, which leads to bursty collective dynamics with a
characteristic 1/f noise. Here we use the aggregated "user interest" in a brand
name to model collective human dynamics by a stochastic differential equation
with multiplicative noise. The model is supported by a detailed analysis of the
tweet rate fluctuations and it reproduces both the exact bursty dynamics found
in the data and the 1/f noise
Academics' online presence guidelines: A four step guide to taking control of your visibility
OpenUCT published Academics' online presence guidelines: A four step guide to taking control of your visibility in 2012
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