RETURN TO ISSUEPREVNewsNEXTJournal of the American Chemical SocietyCite this: Chem. Eng. News 1946, 24, 4, 519Publication Date (Print):February 25, 1946Publication History Published online4 November 2010Published inissue 25 February 1946https://doi.org/10.1021/cen-v024n004.p519Copyright © 1946 AMERICAN CHEMICAL SOCIETYArticle Views9Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (102 KB) Get e-Alerts
Abstract The Journal Impact Factor (JIF) published by Thomson Reuters is often used to evaluate the significance and performance of scientific journals. Besides methodological problems with the JIF, the critical issue is whether a single measure is sufficient for characterizing the impact of journals, particularly the impact of multidisciplinary and wide‐scope journals that publish articles in a broad range of research fields. Taking Angewandte Chemie International Edition and the Journal of the American Chemical Society as examples, we examined the two journals' publication and impact profiles across the sections of Chemical Abstracts and compared the results with the JIF. The analysis was based primarily on Communications published in Angewandte Chemie International Edition and the Journal of the American Chemical Society during 2001 to 2005. The findings show that the information available in the Science Citation Index is a rather unreliable indication of the document type and is therefore inappropriate for comparative analysis. The findings further suggest that the composition of the journal in terms of contribution types, the length of the citation window, and the thematic focus of the journal in terms of the sections of Chemical Abstracts has a significant influence on the overall journal citation impact. Therefore, a single measure of journal citation impact such as the JIF is insufficient for characterizing the significance and performance of wide‐scope journals. For the comparison of journals, more sophisticated methods such as publication and impact profiles across subject headings of bibliographic databases (e.g., the sections of Chemical Abstracts ) are valuable.
Abstract Based on a case study, this article explores the stability of publication regimes (as defined by Hilgartner (2015, 2017)) in chemistry. Starting with a slight detour via open access (OA) policies, it concentrates on the conditions of editorial production and trade of a scholarly journal, from an historical perspective enriched by a sociology of valuation and pricing. Prices are seen as social constructs as I consider the modalities of market coordination among actors of the publishing enterprise in a major scholarly society, the American Chemical Society (ACS). The study focuses on the Journal of the American Chemical Society ( JACS ), a periodical that was founded in 1879 by the ACS, of which it is the “flagship” journal. The investigation relies mainly on a detailed examination of the JACS imprint from a diachronic perspective (1879–2010). I describe how scientific papers (as singular entities) gradually entered into a commodity market, first with the page-charge mechanism and the imposition of authors’ fees, up to the emergence of the Article Processing Charge (APC) model, where the authors/institutions pay fees to have the electronic versions of their articles in OA. The proposed timeline in five periods is marked by two points of rupture that correspond to State intervention and the adoption of federal laws. Inherited from the deployment of science regimes in the post-WWII period, revenue collection models were collectively invented by the ACS and its members as successive adjustments to address massive imbalances caused by changes in scientific, institutional, and regulatory environments. Specific market mechanisms and modes of coordination have been put in place to support the development and guarantee the continuity of a disciplinary program (that of chemistry) in the frame of what I call a disciplinary publication regime.
This report shows how Database Tomography can be used to derive technical intelligence from the published literature. Database Tomography is a patented system for analyzing large amounts of textual computerized material. It includes algorithms for extracting multi-word phrase frequencies and performing phrase proximity analyses. Phrase frequency analysis provides the pervasive themes of a database, and phrase proximity analysis provides the relationships among the pervasive themes and between the pervasive themes and sub-themes. One potential application of Database Tomography is to obtain the thrusts and interrelationships of a technical field from papers published in the literature within that field. This report provides applications of Database Tomography to analyses of both the non-technical field of Research Impact Assessment (RIA) and the technical field of Chemistry. A database of relevant RIA articles was analyzed to produce characteristics and key features of the RIA field. The journals that carry the most RIA papers, the institutions most active in RIA, the keywords most often specified by the authors, and the authors whose works are cited most frequently are identified. The pervasive themes of RIA are identified through multi-word phrase analyses of the database, and the relationships among the pervasive themes and between the pervasive themes and sub-themes are identified through phrase proximity analyses. A similar process was applied to Chemistry, with the exception that the database was limited to one year's issues of the Journal of the American Chemical Society. Wherever possible, the RIA and Chemistry results were compared. Finally, the conceptual use of Database Tomography to help identify promising research directions is discussed. (11 refs.)
Abstract Citation and content analyses of eight American Chemical Society (ACS) journals in a range of fields of chemistry were used to describe the use of Web‐based information resources by the authors and readers of the scholarly literature of chemistry. The analyses indicate that even though the number of Web‐based information resources has grown steadily over the past decade, chemists are not taking full advantage of freely available Web‐based resources. They are, however, making use of the ACS Electronic Supporting Information archive. The content of the Web‐based resources that are used is primarily text based, and the URLs are provided in the articles' reference lists and experimental sections. The presence of a reference to a Web‐based resource in a chemistry article does not influence its rate of citation, even though the viability of the URLs was found to erode with time. Comparison of citation and online access data reveals that at the highest levels of citation, articles also garner high levels of online access. This was especially true for articles describing a technique or methodology. Even though chemists do not incorporate large numbers of freely available Web‐based resources into their publications, an increasingly important component of a chemist's information behavior for the direct support of his or her research is unfettered bench‐top access via the Web.
ADVERTISEMENT RETURN TO ISSUEEditorialNEXTJournal of the American Chemical Society: A Look Back at 2022 and Forward to 2023Erick M. Carreira*Erick M. CarreiraETH Zürich, 8093 Zürich, Switzerland*[email protected]More by Erick M. Carreirahttps://orcid.org/0000-0003-1472-490XCite this: J. Am. Chem. Soc. 2023, 145, 6, 3255–3256Publication Date (Web):February 15, 2023Publication History Received10 January 2023Published online15 February 2023Published inissue 15 February 2023https://pubs.acs.org/doi/10.1021/jacs.3c00330https://doi.org/10.1021/jacs.3c00330editorialACS PublicationsCopyright © 2023 American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views2852Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (915 KB) Get e-AlertscloseSUBJECTS:Catalysis,Materials,Nuclear magnetic resonance spectroscopy,Polymer chemistry,Porous materials Get e-Alerts
ADVERTISEMENT RETURN TO ISSUEEditorialNEXTPeer Review at the Journal of the American Chemical SocietyPeter J. StangCite this: J. Am. Chem. Soc. 2017, 139, 46, 16431–16432Publication Date (Web):November 22, 2017Publication History Published online22 November 2017Published inissue 22 November 2017https://pubs.acs.org/doi/10.1021/jacs.7b11541https://doi.org/10.1021/jacs.7b11541editorialACS PublicationsCopyright © 2017 American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views13427Altmetric-Citations1LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (189 KB) Get e-AlertscloseSUBJECTS:Testing and assessment Get e-Alerts
This article contributes to the discussion on the relationship between views, citations, number of references, number of authors, number of countries and the Altmetric Attention Score (AAS). The aim is to identify the metric most likely to complement traditional citations in scholarly publishing in chemistry. We used the publications in a top multi-disciplinary chemistry journal, the Journal of the American Chemical Society, for a three-year period for this study. We identified whether materials that are highly viewed correlates with higher number of citations and higher Altmetric Attention Scores; high AAS correlates with higher number of views and higher number of citations; higher number of citations correlates with higher number of views and higher AAS; (multi-authored works correlate with higher AAS, higher number of views and/or higher number of citations; and authors from more than one country correlate with higher number of views, higher citations and higher AAS.
Previous article Next article On the Construction and Comparison of Difference SchemesGilbert StrangGilbert Stranghttps://doi.org/10.1137/0705041PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] J. Barkley Rosser, A Runge-Kutta for all seasons, SIAM Rev., 9 (1967), 417–452 10.1137/1009069 MR0219242 0243.65041 LinkISIGoogle Scholar[2] Robert D. Richtmyer and , K. W. Morton, Difference methods for initial-value problems, Second edition. Interscience Tracts in Pure and Applied Mathematics, No. 4, Interscience Publishers John Wiley & Sons, Inc., New York-London-Sydney, 1967xiv+405 MR0220455 0155.47502 Google Scholar[3] Peter D. Lax and , Burton Wendroff, Difference schemes for hyperbolic equations with high order of accuracy, Comm. Pure Appl. Math., 17 (1964), 381–398 MR0170484 0233.65050 CrossrefISIGoogle Scholar[4] Samuel Z. 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Previous article Next article The Numerical Solution of Parabolic and Elliptic Differential EquationsD. W. Peaceman and H. H. Rachford, Jr.D. W. Peaceman and H. H. Rachford, Jr.https://doi.org/10.1137/0103003PDFPDF PLUSBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] G. H., Bruce, , D. W., Peaceman, , H. H., Rachford and , J. D. Rice, Calculation of unsteady-state gas flow through porous media, Trans. Amer. Inst. Mining and Met. Engrs., 198 (1953), 79– ISIGoogle Scholar[2] H. S. Carslaw and , J. C. Jaeger, Conduction of Heat in Solids, Oxford, at the Clarendon Press, 1947viii+386 MR0022294 Google Scholar[3] Stanley P. Frankel, Convergence rates of iterative treatments of partial differential equations, Math. Tables and Other Aids to Computation, 4 (1950), 65–75 MR0046149 CrossrefGoogle Scholar[4] George G. O'Brien, , Morton A. Hyman and , Sidney Kaplan, A study of the numerical solution of partial differential equations, J. Math. Physics, 29 (1951), 223–251 MR0040805 0042.13204 CrossrefISIGoogle Scholar[5] Jim Douglas, Jr., On the numerical integration of $\partial\sp 2u/\partial x\sp 2+\partial\sp 2u/\partial y\sp 2=\partial u/\partial t$ by implicit methods, J. Soc. Indust. Appl. Math., 3 (1955), 42–65 10.1137/0103004 MR0071875 0067.35802 LinkISIGoogle Scholar[6] Jim Douglas, Jr. and , T. M. Gallie, Jr., Variable time steps in the solution of the heat flow equation by a difference equation, Proc. Amer. Math. Soc., 6 (1955), 787–793 MR0078754 0066.10502 CrossrefGoogle Scholar[7] J. Douglas, Jr. and , D. W. Peaceman, Numerical solution of two-dimensional heat flow problems, to be presented at the May, 1955 meeting of The American Institute of Chemical Engineers at Houston, Texas Google Scholar Previous article Next article FiguresRelatedReferencesCited ByDetails A General Alternating-Direction Implicit Framework with Gaussian Process Regression Parameter Prediction for Large Sparse Linear SystemsKai Jiang, Xuehong Su, and Juan ZhangSIAM Journal on Scientific Computing, Vol. 44, No. 4 | 7 July 2022AbstractPDF (1383 KB)Convergence Analysis of the Nonoverlapping Robin--Robin Method for Nonlinear Elliptic EquationsEmil Engström and Eskil HansenSIAM Journal on Numerical Analysis, Vol. 60, No. 2 | 21 March 2022AbstractPDF (565 KB)Robust Alternating Direction Implicit Solver in Quantized Tensor Formats for a Three-Dimensional Elliptic PDEM. 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The article “The ecological risk assessment of atrazine in North American surface waters” 1 is one of the few among the 100 most cited articles in Environmental Toxicology and Chemistry to specifically address risk and/or assessment of risk, and it was the first to use probabilistic approaches for a pesticide. As with all science, it was one of many steps in the refinement of procedures for characterizing and assessing risks. Today, we understand that risk must always be expressed as a probability; but, in the general sense, this concept was a late arrival in the area of ecotoxicology. Ecotoxicological risk assessment, as we use it today, traces its scientific origins to risk assessment for the protection of human health, but even that was a relatively recent adoption. Although humans have faced risks since the dawn of society, risk assessment was purely empirical, descriptive, and anecdotal. The concept of risk in mathematical terms became possible only though the adoption of the Hindu-Arabic numbering system by Western society approximately 800 years ago 2. Risk was studied quantitatively only during and after the Renaissance through the work of Chevalier de Méré, Blaise Pascal, Jacob Bernoulli, and Abraham de Moivre, who suggested the structure of the normal distribution. This concept was further refined by Swiss mathematician Carl Fredrick Gauβ and many others, resulting in the process used today. The risk assessment of atrazine 1 typifies the breadth of expertise that is needed to undertake ecotoxicological risk assessment; it was the work of a panel of 12 authors, each contributing equally important and essential components to the process. The final product was brought together in a collegial and nonconfrontational process and the paper prepared for publication by one panel member. This model worked well and has been emulated in many subsequent assessments. The assessment of risks of adverse effects from atrazine in the environment was not completely novel, but it was an important step forward in the development of the concepts of risk in ecotoxicology. The probabilistic characterization of toxicity data was not new. In the arena of human health, this process was suggested for components of food 3, which then led to the use of the threshold of toxicological concern 4 as an important screening tool, an approach now advocated for use in ecotoxicology 5. From the environmental point of view, distributions of toxicity values were used to distinguish between more tolerant or resistant and more susceptible populations of ectoparasites of animals 6, but the notion of using these distributions for setting environmental quality guidelines originated from early work in the Netherlands (N. van Straalen, 1982, personal communication) that was further developed in Europe 7 and the United States 8. These probabilistic methods are now used worldwide for setting guidelines for environmental quality. Though the probabilistic analysis of toxicity was not novel, the ecological risk assessment for atrazine demonstrated how data for toxicity and exposure could be combined into a probabilistic characterization and unified expression of risk. This was a significant advancement over the use of simple quotients based on worst-case values. However, this was also not entirely new, it had been conceptualized in the work of the Aquatic Risk Assessment Dialogue Group 9, a process that was organized in part by the Society of Environmental Toxicology and Chemistry (SETAC) and also involved several authors of the article on the risk assessment for atrazine. The publication of “The ecological risk assessment of atrazine in North American surface waters” was likely the catalyst for a number of joint activities between academia, industry, and regulators, such as the Ecological Committee on Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) Risk Assessment Methods (ECOFRAM 10) in the United States and the European Framework for Probabilistic Risk Assessment of the Environmental Impacts of Pesticides EUFRAM 11 in the European Union. Both of these have led to the further development of probabilistic assessment of ecotoxicological risks. One such development was the use of the joint probability distribution, first suggested in a computer program developed by the Cadmus Group and refined by ECOFRAM 10 for use in graphically displaying risks and, more recently, using these graphical displays for decision making (see Fig. 4 in 12). Several of the refinements of probabilistic assessment of risk were incorporated in a more comprehensive, larger, and updated evaluation of atrazine that was published as a SETAC book 13, which included significant advances in the modeling of concentrations in surface waters. Probabilistic methods, such as those pioneered in these and subsequent risk assessment authored by others, are likely to become more widely used, particularly for chemicals for which large sets of data are available. A spreadsheet model, the probabilistic risk assessment tool (PRAT) has been developed to aid in the probabilistic assessment of chemicals in the environment 14. Another feature of the risk assessment for atrazine that probably contributed to the number of citations is the large amount of data that it provided about one particular chemical, which is an important herbicide used in production agriculture. The reason for the inclusion of these data in the paper was two-fold: first, the paper was partly a review of the biological and physical properties of atrazine; and second, the authors wished to be as transparent as possible in providing the scientific basis for the conclusions reached in the paper. As has been noted 15, transparency is very important in communicating the results of risk assessments and should be an integral part of the assessment and the decisions that result therefrom. Hopefully, with the ability to include supplemental information in journal articles, such transparency will become the standard for risk assessments in the future. Table S1. (45 KB PDF). Additional Supporting Information may be found in the online version of this article. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
OR MANY YEARS administrators of library collections have sought objective criteria for assembling well-rounded periodical collections in the subject fields represented by their collections. The nearest approach to any criterion which does away with the a priori knowledge of the specialist was first suggested by Gross and Gross in 1927.10 This method consists, essentially, of counting the bibliographic citations at the conclusions of the articles in a basic periodical of the field under consideration, and of arranging the journals cited in order of the frequency of their citation. Thus, in the field of chemistry, the references in the Journal of the American Chemical Society are counted and a list is made of the most frequently cited journals. According to Gross and Gross, the journals which are cited most frequently in the Journal of the American Chemical Society are the most valuable journals for a library to purchase in order to possess a well-rounded collection in chemistry. Since 1927 this method has been used frequently and for many
A database has been constructed that contains all the crystal structures previously published in the American Mineralogist. The database is called “The American Mineralogist Crystal Structure Database” and is freely accessible from the websites of the Mineralogical Society of America at http://www.minsocam.org/MSA/Crystal_Database.html and the University of Arizona. In addition to the database, a suite of interactive software is provided that can be used to view and manipulate the crystal structures and compute different properties of a crystal such as geometry, diffraction patterns, and procrystal electron densities. The database is set up so that the data can be easily incorporated into other software packages. Included at the website is an evolving set of guides to instruct the user and help with classroom education. parameters; (5) incorporating comments from either the original authors or ourselves when changes are made to the originally published data. Each record in the database consists of a bibliographic reference, cell parameters, symmetry, atomic positions, displacement parameters, and site occupancies. An example of a data set is provided in Figure 1. The first part of each data set contains identifying information, bibliography and notes, while the second part contains the crystallographic parameters. The first line of a data file contains an identifier, such as the name of the mineral or formula of the chemical species. The next line(s) contain the names of the authors, each separated by a comma. This is followed by the journal reference, title of the paper, and additional notes. The crystallographic data begins with a listing of the cell parameters and space group. If the data is given with respect to a non-standard space group origin then an asterisk precedes the space group symbol and the next line contains the translation vector from the standard origin. The 1952 edition of the International Tables for X-ray Crystallography are used to define the standard origin. The rest of the data set is a fixed-formatted listing of the atoms, their positional and displacement parameters, and occupancies. A header is provided that defines rightjustified columns. The name of each atom identifies the occupying elements, with additional identifiers added when appropriate. For instance, “Oco” identifies a particular oxygen atom in the albite structure. Some data sets report a crystallographic site occupied by molecular species rather than elemental, such as OH, water or methane. In most of these cases the atom name is denoted by molecular formula. For example, “CH4” denotes methane, and “Wat” denotes water. The displacement factors are tabulated in one of two formats, U’s or b’s
In the wake of a rash of executive orders and administrative actions aimed at shaping the scale, scope, and focus of the scientific enterprise in the United States during the second Trump Presidency, we have undertaken a survey of members of the American Physical Society, the country's pre-eminent physics professional society to investigate their needs, interests, and priorities, and how their interests may differ from organizational leadership's priorities. This report provides detail on the context for the creation and implementation of the survey, as well as articulating results and some common themes found in responses. Broadly, our informal survey of APS members revealed that a majority of respondents perceive that the Society supports them, cares about their needs as physicists, and is communicating reliably and transparently. However, a sizeable proportion of respondents -- up to 30\% -- harbor concerns about the organization's actions, its prioritization of member needs over corporate interests, or its willingness to listen to members. In addition, a strong majority -- over two-thirds of respondents -- articulated a desire for more concrete and personal support from APS. Wh
Using the Scopus dataset (1996-2007) a grand matrix of aggregated journal-journal citations was constructed. This matrix can be compared in terms of the network structures with the matrix contained in the Journal Citation Reports (JCR) of the Institute of Scientific Information (ISI). Since the Scopus database contains a larger number of journals and covers also the humanities, one would expect richer maps. However, the matrix is in this case sparser than in the case of the ISI data. This is due to (i) the larger number of journals covered by Scopus and (ii) the historical record of citations older than ten years contained in the ISI database. When the data is highly structured, as in the case of large journals, the maps are comparable, although one may have to vary a threshold (because of the differences in densities). In the case of interdisciplinary journals and journals in the social sciences and humanities, the new database does not add a lot to what is possible with the ISI databases.
The journal structure in the China Scientific and Technical Papers and Citations Database (CSTPCD) is analysed from three perspectives: the database level, the specialty level and the institutional level (i.e., university journals versus journals issued by the Chinese Academy of Sciences). The results are compared with those for (Chinese) journals included in the Science Citation Index. The frequency of journal-journal citation relations in the CSTPCD is an order of magnitude lower than in the SCI. Chinese journals, especially high-quality journals, prefer to cite international journals rather than domestic ones. However, Chinese journals do not get an equivalent reception from their international counterparts. The international visibility of Chinese journals is low, but varies among fields of science. Journals of the Chinese Academy of Sciences (CAS) have a better reception in the international scientific community than university journals.
In this work, we study the correlation between interdisciplinarity of papers within physical sciences and their citations by using meta data of articles published in American Physical Society's Physical Review journals between 1985 to 2012. We use the Weitzman diversity index to measure the diversity of papers and authors, exploiting the hierarchical structure of PACS (Physics and Astronomy Classification Scheme) codes. We find that the fraction of authors with high diversity is increasing with time, where as the fraction of least diversity are decreasing, and moderate diversity authors have higher tendency to switch over to other diversity groups. The diversity index of papers is correlated with the citations they received in a given time period from their publication year. Papers with lower and higher end of diversity index receive lesser citations than the moderate diversity papers.
Using "Analyze Results" at the Web of Science, one can directly generate overlays onto global journal maps of science. The maps are based on the 10,000+ journals contained in the Journal Citation Reports (JCR) of the Science and Social Science Citation Indices (2011). The disciplinary diversity of the retrieval is measured in terms of Rao-Stirling's "quadratic entropy." Since this indicator of interdisciplinarity is normalized between zero and one, the interdisciplinarity can be compared among document sets and across years, cited or citing. The colors used for the overlays are based on Blondel et al.'s (2008) community-finding algorithms operating on the relations journals included in JCRs. The results can be exported from VOSViewer with different options such as proportional labels, heat maps, or cluster density maps. The maps can also be web-started and/or animated (e.g., using PowerPoint). The "citing" dimension of the aggregated journal-journal citation matrix was found to provide a more comprehensive description than the matrix based on the cited archive. The relations between local and global maps and their different functions in studying the sciences in terms of journal lit
We compare the network of aggregated journal-journal citation relations provided by the Journal Citation Reports (JCR) 2012 of the Science and Social Science Citation Indexes (SCI and SSCI) with similar data based on Scopus 2012. First, global maps were developed for the two sets separately; sets of documents can then be compared using overlays to both maps. Using fuzzy-string matching and ISSN numbers, we were able to match 10,524 journal names between the two sets; that is, 96.4% of the 10,936 journals contained in JCR or 51.2% of the 20,554 journals covered by Scopus. Network analysis was then pursued on the set of journals shared between the two databases and the two sets of unique journals. Citations among the shared journals are more comprehensively covered in JCR than Scopus, so the network in JCR is denser and more connected than in Scopus. The ranking of shared journals in terms of indegree (that is, numbers of citing journals) or total citations is similar in both databases overall (Spearman's \r{ho} > 0.97), but some individual journals rank very differently. Journals that are unique to Scopus seem to be less important--they are citing shared journals rather than bein
This paper, the second in a series of two, provides a set of recommendations that the American Astronomical Society (AAS) can take to create a more diverse and inclusive professional society for astronomers, with a focus on women astronomers. As noted in Paper I, now is the time for the AAS to take decisive action to transform astronomy into a diverse and inclusive profession. By combining the results of our 2019 survey, which is described in Paper I, peer-reviewed academic literature, and findings from many of the white papers submitted to Astro2020, the CSWA has developed 26 specific actions the AAS can take to help end harassment and bullying in astronomy; advance career development for astronomers who are women, members of other underrepresented groups, and intersections of these populations; and improve the climate and culture of AAS meetings. Actions to reduce rates of harassment and bullying include improvements to the AAS's anti-harassment policies and procedures and the development of astronomy-specific anti-harassment training resources. Actions to advance career development include creating a compensation database, improving how jobs are posted in the AAS Job Register, a