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156 Journal of Library Science in China, Vol.9, 2017

papers’ impact between China and the USA from the index correlation, different years, different
types of paper, different indexes; at the same time, their causes are also analyzed.
We found that: 1)The indicators correlation is similar in the OA papers of China and the USA,
with a high correlation between cited index and viewed index, and with the weak correlation
between cited and discussed index. There are big differences between the saved indexes of Figshare,
CiteULike and Mendeley; indicators of F1000Prime and PLoS XML Downloads are special.
2)On the whole, the values of the indexes of the USA papers are higher than those of Chinese
papers. The gaps of the indexes of Viewed, Discussed, and Recommended are large, but as to
the Saved index, it’s not large. Measuring papers’ impact only by citation underestimates the gap
between China and the USA. There are big differences in the change of various indicators, and
there is a strong accumulation of citation; the earlier the paper is published, the higher the citation
is, the change of the discussed index is. The value of the five indicators varies; the viewed index
has the highest value, while the recommended index has the lowest value.
3)The viewed index of China and the USA has significant differences between the three types
of papers; the other 4 indicators of American OA papers are not significant. About Chinese paper,
indicators have relatively high value in papers of China as the non-first author; papers of China
having sole Chinese authors have the lowest value. About USA papers, papers of USA as the first
author have the highest values in most indexes. The impact of papers of multi-country cooperation
is the first, and papers of China as the first-author or the sole author need to be improved.
4)In terms of specific indicators, the difference between the values of the sub-index is large;
the viewed and saved indexes have the high coverage rate, and the recommended index has the
lowest coverage rate. The values of PMC Download and Figshare of China are greater than those
of the USA. Under the 0.01 and 0.05 significant level, the China and the USA papers do not differ
significantly according to values of sub-indexes, including PMC PDF downloads, Figshare, Nature
Blogs, Reddit, whether the MW test or KS test.
This study has some limitations. It does not cover all research areas and some areas may be
particularly alien to the PLoS. In addition, relevant metrics are derived only from PLoS ALM,
combining with Altmetric.com, Impactstory and X Plum and other platforms of data and indicators
may be more comprehensive and more reliable.

Influence factors of knowledge stickiness in academic teams
LI Gang & BA Zhichao〇
〇a*
Knowledge stickiness is the decisive factor to hinder knowledge transfer and a realistic problem
that need to be solved to implement the cooperative innovation performance of academic teams.

* Correspondence should be addressed to BA Zhichao, Email: bazhichaoty@126.com, ORCID: 0000-0001-5626-5604