Web of Science is best accessed via Primo\u2019s AZ Databases<\/a> for seamless 1-click access.\u00a0 Once within the database, you can create your own account to save searches, set alerts and make use of other personalisation features.\u00a0 You can then use this account for other Web of Science tools such as Endnote & Publons. If you already have an account on one of these platforms, you can therefore use the same log-in details for the others \u2013 there is no need to set up any additional accounts.<\/p>\n <\/p>\n One of the updated features on the new Web of Science is the capacity for Open Access analysis<\/a> in the \u201cAnalyse Results\u201d section. Selecting Open Access as a field shows a breakdown of the OA status of articles, indicating whether they are:<\/p>\n Web of Science harvests its Green Open Access content from open repositories via Unpaywall<\/a>, an database of open scholarly articles. (Unpaywall can also be downloaded for free as a browser extension<\/a> to check for OA versions of individual articles.)<\/p>\n Details of outputs deposited into PEARL via Symplectic Elements will therefore be harvested into Web of Science, enabling researchers around the world to find University of Plymouth Open Access content more easily.<\/p>\n Open Access, Review Articles and Early Access are also now quick access, top level filters for refining search results in Web of Science.<\/p>\n <\/p>\n The Web of Science ResearcherID<\/a> is an identifier used in the citation database Web of Science. In 2019 this was migrated to a new platform, Publons<\/a>, the benefit of which being that researchers can now view not only their research outputs but also their peer review and journal editing history<\/a>.<\/p>\n Among the updates to Web of Science is the ability to submit corrections to Author Records<\/a>. Authors can merge multiple records together or remove articles written by other people. Authors can also now reflect their preferred known identity by setting a preferred name for their Author Record<\/a>.<\/p>\n On our guidance on Online Identifiers for Author Attribution<\/a>, you can find out more about the Web of Science ResearcherID and Publons, as well as how to connect them with ORCID to minimise the manual burden of updating profiles.<\/p>\n <\/p>\n Endnote Click<\/strong><\/a> is now embedded into records at search results level of the new Web of Science.\u00a0 Our next blog post on Endnote Click will explain more on this new tool acquired by Clarivate (formerly Kopernio) and how it can help you to gain one-click access to subscribed and open access articles.<\/p>\n One of Web of Science\u2019s new tools, the Web of Science Author Impact Beamplots<\/a>, aims to provide contextual insights into individual researcher performance.<\/p>\n The context for the creation of this tool is a wider community effort to encourage the responsible use of research metrics in the research community.<\/p>\n Research metrics\u00a0are used to ‘measure’ the impact\u00a0of research outputs, researchers, research groups, and even journals. Many of these metrics are citation-based, such as the citation count of an article or the h-index of a researcher. However, there are growing concerns surrounding the improper use of such quantitative metrics in research assessment. Too often these are used as a proxy for the measurement of something qualitative, such as research excellence. Citation metrics don\u2019t tell the whole story \u2013 after all, not all citations are \u2018good\u2019 citations! \u2013 and can easily be biased, manipulated, or gamed.<\/p>\n The movement towards responsible metrics is being further accelerated by the fact that cOAlition S \u2013 the group of funding bodies behind Plan S<\/a> \u2013 are committed to\u00a0fostering responsible research assessment and evaluation<\/a>, and one of the ten\u00a0key principles of Plan S<\/a>\u00a0centres on\u00a0valuing\u00a0the intrinsic merit of a work and not considering the publication channel, its impact factor (or other journal metrics), or the publisher. The Wellcome Trust now expects Wellcome-funded organisations to publicly commit to responsible research evaluation<\/a>, and the University of Plymouth is in the process of working towards an official policy on responsible metrics.<\/p>\n Read our guidance on bibliometrics for research impact<\/a> to find out more about research metrics, where to find them, and how to use them responsibly.<\/p>\n Rather than reducing an author\u2019s citation impact to a single number, like the h-index does, Beamplots aims to show the volume and citation impact (which is field weighted and shown as a percentile) of an author\u2019s publications over a period of time, in a way that brings underlying data to the surface. If used correctly and alongside other considerations, this could help enable more a more ethical comparison of individual researchers under assessment by facilitating a much more in-depth analysis of a researcher\u2019s contributions and impact.<\/p>\n Fig. 1: https:\/\/clarivate.com\/blog\/the-web-of-science-author-impact-beamplots-a-new-tool-for-responsible-research-evaluation\/<\/a><\/p>\n <\/p>\n A beamplot shows on its x-axis citation performance as a percentile, which corresponds to a paper\u2019s performance within its field, since different fields have vastly different publication activities. Multiple papers are indicated by a larger marker. Along the y-axis are the publication years; the green circle on each year\u2019s line indicates the median percentile value for papers published that year, with the overall average shown on the dotted line.<\/p>\n Web of Science have published a white paper, \u2018Interpreting the citation performance of individual researchers with beamplots<\/a>\u2019, which details a hypothetical hiring scenario in which beamplots could contribute to the assessment of researcher\u2019s performances. It also details some other factors that would need to be taken into account in such a scenario, such as where the researchers were based, what their role was, who they were working with when the research was conducted, and the nature of their research.<\/p>\n Martin Szomszor and David A. Pendlebury, \u2018Interpreting the citation performance of individual researchers with beamplots<\/em>\u2019, p. 8<\/p>\n <\/p>\n More information on Author Impact Beamplots can be found on WoS\u2019s blog post,<\/a> or in their training videos<\/a>.<\/p>\n \u00a0<\/strong><\/p>\n Below are some of the smaller updates that are being made to the platform with links to the press releases containing more information. This list is not comprehensive, and Web of Science are continually releasing more updates.<\/p>\n <\/p>\n Clicking on the purple question mark in the bottom right-hand corner provides updates, training, and virtual guided \u2018tours\u2019 of the new version and its features. You can also provide feedback on the new Web of Science, or even suggest a feature that could be added.<\/p>\n Updates to the platform are ongoing and new features are continually being released. If you\u2019re interested in keeping up-to-date, you can do so via the news and press releases<\/a>, which include details of new features as these are added, or take a look at their on-demand webinars<\/a>.<\/p>\n Web of Science is a tool which provides details of research articles and citation data across multiple disciplines. It is currently undergoing a series of updates aimed at transforming the platform into a dynamic and highly personalised research intelligence platform. The updated platform will have an increased emphasis on its citation network, more efficient and… Continue reading Web of Science: new site, new features, new metrics<\/span><\/a><\/p>\n","protected":false},"author":10,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-257","post","type-post","status-publish","format-standard","hentry","category-management","entry"],"_links":{"self":[{"href":"https:\/\/blogs.plymouth.ac.uk\/research\/wp-json\/wp\/v2\/posts\/257","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.plymouth.ac.uk\/research\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.plymouth.ac.uk\/research\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.plymouth.ac.uk\/research\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.plymouth.ac.uk\/research\/wp-json\/wp\/v2\/comments?post=257"}],"version-history":[{"count":3,"href":"https:\/\/blogs.plymouth.ac.uk\/research\/wp-json\/wp\/v2\/posts\/257\/revisions"}],"predecessor-version":[{"id":272,"href":"https:\/\/blogs.plymouth.ac.uk\/research\/wp-json\/wp\/v2\/posts\/257\/revisions\/272"}],"wp:attachment":[{"href":"https:\/\/blogs.plymouth.ac.uk\/research\/wp-json\/wp\/v2\/media?parent=257"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.plymouth.ac.uk\/research\/wp-json\/wp\/v2\/categories?post=257"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.plymouth.ac.uk\/research\/wp-json\/wp\/v2\/tags?post=257"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"A](\"http:\/\/blogs.plymouth.ac.uk\/research\/wp-content\/uploads\/sites\/30\/2021\/07\/Screenshot-1057.png\")
<\/p>\nOpen Access<\/strong><\/h2>\n
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![\"A](\"http:\/\/blogs.plymouth.ac.uk\/research\/wp-content\/uploads\/sites\/30\/2021\/07\/wosblog2.png\")
<\/p>\nAuthor Profiles: ResearcherID and Publons<\/strong><\/h2>\n
Endnote Click<\/strong><\/h2>\n
![\"A](\"http:\/\/blogs.plymouth.ac.uk\/research\/wp-content\/uploads\/sites\/30\/2021\/07\/wosblog3.png\")
<\/p>\n<\/h2>\n
New metrics: Author Impact Beamplots<\/strong><\/h2>\n
What is this for?<\/strong><\/h4>\n
What does Beamplots do?<\/strong><\/h4>\n
![\"A](\"http:\/\/blogs.plymouth.ac.uk\/research\/wp-content\/uploads\/sites\/30\/2021\/07\/wosblog4.jpg\")
<\/p>\n\n
\u201cIt should be apparent that neither single point metrics nor a beamplot should be used as a crude evaluation instrument. However, beamplots do offer advantages because they surface variation in the data that should be investigated and compared against other quantitative and qualitative indicators, leading to a more responsible use of metrics.\u201d<\/h3>\n<\/blockquote>\n
Additional updates<\/strong><\/h2>\n
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Help & feedback your views to Web of Science<\/strong><\/h2>\n
![\"The](\"http:\/\/blogs.plymouth.ac.uk\/research\/wp-content\/uploads\/sites\/30\/2021\/07\/wosblog5.png\")
<\/p>\nHelpful links<\/strong><\/h2>\n
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