Page 187 - JOURNAL OF LIBRARY SCIENCE IN CHINA 2018 Vol. 43

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Extended English abstracts of articles published in the Chinese edition of Journal of Library Science in China 2017 Vol.43 187

characteristics of the three categories of scientific crowdsourcing.
Furthermore, the study attempts to examine the specific pattern of citizen science projects based
on the scientific crowdsourcing mode proposed above, and two dimensions are used to illustrate
the genre of citizen science projects. Later, 16 citizen science projects are selected to validate the
two-dimension-model and show a good explanatory effect in classifying the various citizen science
projects in an academic manner. In addition, the study highlights the organization-based view to
reinforce the management and development of citizen science projects, which suggests adding a
third-party, i.e., the organization to conduct the relevant managerial and deploy work, including
task design and decomposition, participant incentive and training mechanism, data curation and
quality control, etc. A specific operational model with the entities and associations is designed to
elaborate on the key steps and issues regarding the successful implementation of citizen science
projects. Finally, the paper suggests several research directions from the Library and Information
Science (LIS)perspective, indicating that the LIS field should take the opportunity to explore the
relevant research topics, especially contributing to the planning and implementation of citizen
science projects in the digital humanities domain.

Study of distribution characteristics of policy documents Altmetrics

YU Houqiang〇, XIAO Tingting, WANG Yuefen & QIU Junping
〇a*
Policy documents altmetrics is a relatively novel indicator which provides a new direction for
measuring the societal impact of scientific product. The study reveals the immediacy distribution
of policy documents altmetrics, as well as the distribution at article level, journal level and
discipline level, and the distribution of Altmetric Attention Score, aiming to provide reference
for further application study. The study is based on all policy documents altmetrics data collected
by Altmetric.com from January 2013 to June 2016, i.e. more than 90,000 records. Pandas
package and Matplotlib package are used for data parsing, statistical analysis and visualization
analysis.
Results show that: 1)Policy documents altmetrics is of low relative coverage being 1.7% which
is two times the coverage measured half a year ago. The absolute number has also grown three
times, indicating policy documents are increasingly mentioning and using scientific product
and the source of policy documents is also increasing. 2)Policy documents altmetrics shows no
immediacy advantage and the average delay is 4.5 years, 60% of the policy document mentions
occur within 1 to 5 years, the delay peaks at 2 years which takes up 8%. 3)Scientific products
are barely mentioned by policy documents even if they do. Distribution in the article level is
quite even with 94% of scientific product having only 1 policy document mention. The average

* Correspondence should be addressed to YU Houqiang, Email: yuhouq@yeah.net, ORCID: 0000-0002-9241-6630