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Skincolor, the hydrating ingredients work even after you take it off. . we always want to get skin to that happy, centered place, which we refer to as the look of la mer—healthy and luminous. Could the, skincolor products be used on their own? The, skincolor products are really best applied as a finishing step in a full a skincare regimen. So ideally, the products are applied right after a moisturizer, when the skin is really dewy. This allows for continuous reparative results from the miracle Broth and the makeup compliments a beauty routine in a new way. You can also mix la mer products, like the renewal oil, into the foundation, for a fresh and glowing effect.Brush la mer soft Fluid Long wear foundation spf 20 la mer the concealer la mer the powder / Photo: courtesy of la mer. Why do you think that multi-purpose products are a big trend right now in skincare and cosmetics? I think because of how demanding our lives can be, were seeing the increased desire to have makeup that offers both instant results and longterm repair.
Clyde johnson, la mers Chief Education Expert, who provided some application tips and a video on how to refresh makeup to achieve a daily gorgeous look. The window: All of the cosmetics from the new. Skincolor line contain the famous Miracle Broth ingredient. What are the benefits of using makeup with arabia that formula? Clyde johnson : Our exclusive formula renews and livens the skin. Its really the heart and soul. La mer and is essential in any new collection. Even after you take off the. Skincolor products, your skin will still be improved over time with these hydrating ingredients. How can you tell which shade is right for you?
Skincolor de la, mer, makeup launch The window
The renewing powers of la mer have made the revolutionary brand a mainstay on vanities tattoo across the globe. Using nourishing ingredients like the signature sea kelp Miracle Broth formula, its serums and creams leave skin hydrated, uitslag reducing signs of aging. La mer now hope to be a part of the clients full beauty routine, expanding from skincare to cosmetics with the launch. Skincolor de la mer. The collection includes foundation, concealers, powders, and skin tints, all available in a range of shades to match any skin tone. With the trend of multitasking beauty products on the rise, skincolor de la mer offers the nutrient-rich healing benefits that youd expect as well as seamless makeup coverage. To learn more about the launch, we chatted with.
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Jason Priem, university of North Carolina-Chapel Hill ( @jasonpriem ) Dario taraborelli, wikimedia foundation ( @readermeter ) paul Groth, vu university Amsterdam ( @pgroth ) Cameron neylon, science and Technology facilities council ( @cameronneylon ) How to cite this:. Neylon (2010 Altmetrics: A manifesto,.0 October 26, 2010.01 september 28, 2011: removed dash in alt-metrics).
Road map for altmetrics, speculation regarding altmetrics taraborelli, 2008 ; neylon and wu, 2009 ; Priem and Hemminger, 2010 ) is beginning to yield to empirical investigation and working tools. Priem and Costello (2010) and Groth and Gurney (2010) find citation on Twitter and blogs respectively. ReaderMeter computes impact indicators from readership in reference management systems. Datacite promotes metrics for datasets. Future work must continue along these lines. Researchers must ask if altmetrics really reflect impact, or just empty buzz. Work should correlate between altmetrics and existing measures, predict citations from altmetrics, and compare altmetrics with expert evaluation.
Application designers should continue to build systems to display altmetrics, develop methods to detect and repair gaming, verbranden and create metrics for use and reuse of data. Ultimately, our tools should use the rich semantic data from altmetrics to ask how and why? As well as how many? Altmetrics are in their early stages; many questions are unanswered. But given the crisis facing existing filters and the rapid evolution of scholarly communication, the speed, richness, and breadth of altmetrics make them worth investing.
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Altmetrics arent citations, nor are they webometrics; although these latter approaches are related to altmetrics, they are relatively slow, unstructured, and closed. How can altmetrics improve existing filters? With altmetrics, we can crowdsource peer-review. Instead of waiting months for two opinions, an articles impact might be assessed by thousands of conversations and bookmarks in a week. In the short term, this is likely to supplement traditional peer-review, perhaps augmenting rapid review in journals like. Plos one, bmc research Notes, or, bmj open.
In the future, greater participation and better systems for identifying expert contributors may allow peer review to be performed entirely from altmetrics. Unlike the jif, altmetrics reflect the impact of the article itself, not its venue. Unlike citation metrics, altmetrics will track impact outside the academy, impact of influential but uncited work, and impact from sources that arent peer-reviewed. Some have suggested altmetrics would be too easy to game; we argue the opposite. The jif is appallingly open to manipulation ; mature altmetrics systems could be more robust, leveraging the diversity of of altmetrics and statistical power of big data to algorithmically detect and correct for fraudulent activity. This approach already works for online advertisers, social news sites, wikipedia, and search engines. The speed of altmetrics presents the opportunity to create real-time recommendation and collaborative filtering systems: instead of subscribing to dozens of tables-of-contents, a researcher could get a feed of this weeks most significant work in her field. This becomes especially powerful when combined with quick alt-publications like blogs or preprint servers, shrinking the communication cycle from years to weeks or days. Faster, broader impact metrics could also play a role in funding and promotion decisions.
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Semantic publishing or nanopublication, where the citeable unit is an argument or passage rather than entire article. Widespread self-publishing via blogging, microblogging, and comments or annotations on existing work. Because altmetrics are themselves diverse, theyre great for measuring impact in this diverse scholarly ecosystem. In fact, altmetrics will be essential to sift these new forms, since theyre outside face the scope of traditional filters. This diversity can also help in measuring the aggregate impact of the research enterprise itself. Altmetrics are fast, using public apis to gather data in days or weeks. Theyre opennot just the data, but the scripts and algorithms that collect and interpret. Altmetrics look beyond counting and emphasize semantic content like usernames, timestamps, and tags.
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These new forms reflect and transmit scholarly impact: that dog-eared (but uncited) article that used to live on a shelf now lives in Mendeley, citeulike, or Zoterowhere we can see and count. That hallway conversation about a recent finding has moved to blogs and social networksnow, we can listen. The local genomics dataset has moved to an online repositorynow, we can track. . This diverse group of activities forms a composite trace of impact far richer than any available before. We call the elements of this trace altmetrics. Altmetrics expand our view of what impact looks like, best but also of whats making the impact. This matters because expressions of scholarship are becoming more diverse. Articles are increasingly joined by: The sharing of raw science like datasets, code, and experimental designs.
Citation counting measures are useful, but not sufficient. Metrics like the h-index are even slower than peer-review: a works first citation can take years. Citation measures are narrow; influential work may remain uncited. These metrics are narrow; they neglect impact outside the academy, and also ignore the context and reasons for citation. The jif, which measures journals average citations per article, is often incorrectly used to assess the impact of individual articles. Its troubling that the exact details of the jif are a trade secret, and that significant gaming is relatively easy. Tomorrows filters: aziatische altmetrics, in growing numbers, scholars are moving their everyday work to the web. Zotero and, mendeley each claim to store over 40 million articles (making them substantially larger than PubMed as many as a third of scholars are on Twitter, and a growing number tend scholarly blogs.
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No one can read everything. We rely on filters to make sense of the scholarly literature, but the narrow, traditional filters are being swamped. However, the growth of new, online scholarly tools allows us to make new filters; these altmetrics reflect the broad, rapid impact of scholarship in this burgeoning ecosystem. We call for more tools and research based on altmetrics. As the volume of academic literature explodes, scholars rely on filters to select the most relevant and significant sources reduce from the rest. Unfortunately, scholarships three main filters for importance are failing: peer-review has served scholarship well, but is beginning to show its age. It is slow, encourages conventionality, and fails to hold reviewers accountable. Moreover, given that most papers are eventually published somewhere, peer-review fails to limit the volume of research.