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Science mapping aims to build bibliometric maps that describe how specific disciplines, scientific domains, or research fields are conceptually, intellectually, and socially structured. Different techniques and software tools have been proposed to carry out science mapping analysis. The aim of this article is to review, analyze, and compare some of these software tools, taking into account aspects such as the bibliometric techniques available and the different kinds of analysis.

This article presents a new open‐source software tool, SciMAT, which performs science mapping analysis within a longitudinal framework. It provides different modules that help the analyst to carry out all the steps of the science mapping workflow. In addition, SciMAT presents three key features that are remarkable in respect to other science mapping software tools: (a) a powerful preprocessing module to clean the raw bibliographical data, (b) the use of bibliometric measures to study the impact of each studied element, and (c) a wizard to configure the analysis.

With this Festschrift, we want to celebrate your 60 th birthday, to show our appreciation for you as colleague and friend, as well as mentor and teacher. We are many that have you to thank for a lot of what we are doing nowadays, something that is reflected not only in us wanting to present you with this volume, but also through the impact evident in the articles analyzing your work here.Happy 60 th Birthday!

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Objectives: This article reports the first science mapping analysis of the social work field, which shows its conceptual structure and scientific evolution. Methods: Science Mapping Analysis Software Tool, a bibliometric science mapping tool based on co-word analysis and h-index, is applied using a sample of 18,794 research articles published from 1930 to 2012 in 25 main social work journals indexed in the Journal Citation Reports of the Web of Science. Results: Published research social work field concentrated in eight main thematic areas: children, social services, health care, violence, women, HIV/AIDS, social workers, and education. HIV/AIDS and violence have recently attracted the interest of the social word scientific community, while the rest are classical thematic areas that still attract the interest and efforts of the researchers. Conclusion: This conceptual and empirical analysis shows how research themes have evolved in social work.

Administration of in vitro expanded mesenchymal stromal cells (MSCs) represents a promising therapy for regenerative medicine and autoimmunity. Both mouse and human MSCs ameliorate autoimmune disease in syn-, allo- and xenogeneic settings. However, MSC preparations are heterogeneous which impairs their therapeutic efficacy and endorses variability between experiments. This heterogeneity has also been a main hurdle in translating experimental MSC data from mouse models to human patients. The objective of the present manuscript has been to further characterize murine MSCs (mMSCs) with the aim of designing more efficient and specific MSC-based therapies. We have found that mMSCs are heterogeneous for endoglin (CD105) expression and that this heterogeneity is not due to different stages of MSC differentiation. CD105 is induced on a subpopulation of mMSCs early upon in vitro culture giving rise to CD105+ and CD105- MSCs. CD105+ and CD105- mMSCs represent independent subpopulations that maintain their properties upon several passages. CD105 expression on CD105+ mMSCs was affected by passage number and cell confluency while CD105- mMSCs remained negative. The CD105+ and CD105- mMSC subpopulations had similar growth potential and expressed almost identical mMSC markers (CD29+CD44+Sca1 + MHC-I+ and CD45-CD11b-CD31-) but varied in their differentiation and immunoregulatory properties. Interestingly, CD105- mMSCs were more prone to differentiate into adipocytes and osteocytes and suppressed the proliferation of CD4+ T cells more efficiently compared to CD105+ mMSCs. Based on these studies we propose to redefine the phenotype of mMSCs based on CD105 expression.