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Exporting from the Web of

Bob Green Solutions Specialist February 2020 Output Records

Available from the Results and Full Record pages in all databases.

The export options available are (up to 500 results unless stated):- • EndNote Desktop – creates a ciw file the application can open • EndNote Online – sends results to the account that is currently signed in (or asks the user to sign in) • Other file formats – either BibTeX, HTML, Plain Text, Windows and Mac Tab-delimited (including UTF-8), Other Reference Software (this creates a txt file in CE-ISI format) • Claim on – will add the selected results to the Publons profile that is currently signed in (or asks the user to sign in) • InCites – sends the selected results to InCites to, creating a custom dataset for analysis in that application • FECYT CVN – creates a formatted CV that conforms to this Spanish consortium • RefWorks – sends results directly to an account • Print – creates a web page that can be used to print results • Email – send results to an email account • Fast 5K – creates a tab de-limited txt file with up to 5K results

Insert footer 2 Marked List

Select records and click Add to Marked List from the Results page or add to marked list from the Full Record page.

Add up to 50,000 records (if signed in). Can export batches of 500. Select up to 50,000 records for a single product or split the number among all products in your subscription.

Insert footer 3 Saved Searches

To export a search history, go to ‘Search History’, ‘Save History’. Click “Download Search String to local drive”. This can be sent to others.

To use this saved Search History, go to ‘Saved Searches and Alerts’, at the bottom of the page select the wos file to import.

Insert footer 4 Analyze Results

Group and rank records in a results set by extracting data values from a variety of fields. Find the most prevalent authors in a particular field of study, or generate a list of institutions ranked by record count based on a search query.

Visualization: The visualization at the top of the page shows up to 25 values. You can change from a Treemap chart to a Bar graph, you can download a JPG image of the visualization, and you can Hide the visualization if you want to focus on the data table.

Data Table: The data table below the visualization shows up to 500 values. You can also change the sort and set the Minimum record count. Here you can download a tab-delimited text file of up to 100k records, to analyse further (e.g. in Excel).

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Reflects to source records indexed within a database. If you perform an All Databases search, the Citation Report reflects citations to source records within all citation indexes in the Web of Science platform. Otherwise it reflects the specific database searched.

Up to 500 records can be exported in either Excel or text file format. The additional summary information exported consists of:- • the search criteria used to get the results; • total number of results found (Results Found field); • total number of times all records have been cited (Sum of Times Cited field); • average number of times a record has been cited (Average Citations per Item field); • h-index count that is based on the list of publications ranked in descending order by the Times Cited count.

Insert footer 6 Export Tags PT Publication Type RP Reprint Address IS Issue AU Authors EM E-mail Address SI Special Issue AF Author Full Name RI ResearcherID Number PN Part Number BA Authors OI ORCID Identifier SU Supplement BF Book Authors Full Name FU Funding Agency / Grant Number MA Meeting When exporting from Web of CA Group Authors FX Funding Text BP Beginning Page Science, a tagging system is GP Book Group Authors CR Cited References EP Ending Page used. BE Editors NR Cited Reference Count AR Article Number TI Document Title TC Core Collection Times Cited Count DI Digital Object Identifier (DOI) So when the data is brought into SO Publication Name Z9 Total Times Cited Count D2 Book Digital Object Identifier (DOI) SE Book Series Title U1 Usage Count (Last 180 Days) EA Early access date Excel (or equivalent) the first BS Book Series Subtitle U2 Usage Count (Since 2013) EY Early access year row contains the tags. LA Language PU Publisher PG Page Count DT Document Type PI Publisher City P2 Count (Book ) Some of these are obvious, CT Conference Title PA Publisher Address WC Web of Science Categories others are not. CY Conference Date SN ISSN SC Areas CL Conference Location EI eISSN GA Document Delivery Number SP Conference Sponsors BN ISBN PM PubMed ID Opposite is a list of all the tags HO Conference Host J9 29-Character Source Abbreviation UT Accession Number and what they relate to. DE Author Keywords JI ISO Source Abbreviation OA Indicator ID Keywords Plus® PD Publication Date HP ESI Hot Paper AB Abstract PY Year Published HC ESI Highly Cited Paper C1 Author Address VL Volume DA Date this report was generated.

7 Custom Data APIs

Professional Research VIVO Data Services

Insert footer 8 Custom Data

Our expert custom data team can help you conduct in-depth data assessments and extractions to answer your specific questions – using the leading publication and citation data from Web of Science.

Our custom data sets can be:

• Enhanced with normalized impact and metrics for journal and author performance • Downloaded into in-house information management systems • Commingled with existing government data and other third-party data

1. Standard : standard data extractions delivered usually in Excel or Access 2. Custom Projects: which connect different sources to meet the customer’s wishes

Insert footer 9 Professional Research Data Services

Our professional team of in-house experts are commissioned by organizations worldwide to help answer complex questions! We can accommodate a large range of special projects, ranging from retrospective, descriptive, and inferential analyses — providing customized data, analysis, visualization and tools to inform all stages of research management, and facilitate research success.

Types of analyses we can help conduct

Retrospective Analyses Descriptive Analyses Inferential Analyses “How are we doing?” “What does today look like?” “Where do we want to go?” • Research impact • Research landscape • Strategic planning • Researcher impact • Funding landscape • Collaborative trends • Collaboration • Discipline Convergence • Topic modeling • Program evaluation • KOL identification • Emerging research fields and people • Outcome evaluation • Interdisciplinary trends

Insert footer 10 VIVO An official registered service provider of VIVO

VIVO is an open-source software used by universities and research organizations around the world as a research portal to their scholarly activities. It provides an integrated view of the scholarly work of an to encourage internal and external collaboration among researchers.

Web of Science: automatically populate VIVO profiles with for research outputs using Web of Science APIs. Example 1 InCites and Analytics: InCites B&A APIs enable further integration of rich Web of Science Core Collection metadata into VIVO profiles, as well as citation indicators Example 2 like “highly cited paper” or “industry collaboration”. Example 3 Converis: users of our CRIS system, Converis, can integrate their robust, curated researcher profiles directly into VIVO via API.

Insert footer 11 APIs

Source: Web of Science Source: InCites Web of Science API Lite Web of Science API Article Match Retrieval InCites API Expanded free subscription free subscription

A responsive API, that A robust, comprehensive A publication matching API, The InCites API provides article- supports rich searching API, that delivers deep that enables a real-time level metrics that efficiently across the Web of Science detail into the most Web of Science search to deliver impact and contextual Core Collection to retrieve valuable publication and update citation counts, in metrics for your Research Information Management core article metadata. citation information found batch mode or real time. Systems to enable and enhance This service provides a great in the Web of Science Core Additionally, producing links metrics-based analyses. way to reuse Web of Collection. back to Web of Science for Science data both internally Includes everything in the further discovery and and externally to enhance Web of Science Lite API plus analyses. institutional repositories additional metadata, such and research networking as author, affiliations, systems with best-in-class identifiers and funding data. data.

Insert footer 12 APIs – WoS Lite

• UT (Unique Identifier) Protocol Response Authentication Content Limits • Authors Web of • Licenced content • Author keywords REST XML, JSON token/key Science • Records retrieved • Document type licence per year • Title Web of science advanced search query (i.e. “cu=australia and • Source title Query ts=paediatrics”) • Volume • Issue Any of the following: BIOSIS family (BCI, BIOABS, BIOSIS),Current • Pages Datasets content, DCI, Derwent, Medline, Zoological records (ZR), Web of Science (all databases), Web of Science core collection. • Publication date • DOI Applications Library: publication repository updates • ISBN Access https://developer.clarivate.com/ • ISSN

(Bold = OK for public display)

13 APIs – WoS Expanded Protocol Response Authentication Content Limits • Abstract • Book series • Licenced • Article number • Conference title • Web of content • Author variants • Editor XML, Science REST token/key • Records • Author • Funding text JSON licence retrieved per affiliation • Grant IDs • API licence • Author linkage • Grant agencies year Web of science advanced search query (i.e. “cu=australia and • Org enhanced • Group author Query • Reprint details • Keywords Plus ts=paediatrics”) • Author order • Language Any of the following: BIOSIS family (BCI, BIOABS, BIOSIS),Current content, • ORCID ID • Publisher Datasets DCI, Derwent, Medline, Zoological records (ZR), Web of Science (all • Researcher ID • Related records databases), Web of Science core collection. • Subject category• Citing articles Library: publication repository updates, advanced search for institute • PMID • Cited references papers Research management: benchmark, collaborations, citations, integration • Book author • Open Access Applications • Chapter count flag with CRIS, VIVO • Book group Research: publication and , network data, AI, machine learning author (Bold = OK for public display) Access https://developer.clarivate.com/

14 APIs – Article Match Example Retrieval (AMR)

• UT (Unique Identifier) Protocol Response Authentication Content Limits • Title Username/ Web of Science HTTP XML Throttle • Volume password licence • Issue • Pages • Document identifiers (WOS ID, DOI, PMID), lite service Query • Bibliographic information (authors, title, journal etc). Full service • DOI • Journal name, ISSN (see JCR below) • ISSN / ISBN • Times Cited* Datasets DCI (Data Citation Index), Web of Science core collection. • PMID Library: publication repository updates, record matching from manual Applications • Source URL or third party entries • Citing Articles URL (JCR) subscribers can also return the URL of JCR • Related Records URL requested journal(s) http://help.incites.clarivate.com/LAMRService/WebServicesOverviewG Access (Bold = OK for public display) roup/overview.html

* Times Cited can be shown but cannot be harvested, aggregated or manipulated.

15 APIs – InCites

• UT (Unique • Category Protocol Response Authentication Content Limits Identifier)* normalized • Licenced content • Document type XML, InCites REST token/key • Records retrieved • Times cited • ESI highly cited JSON licence • Research area(s) paper (Yes/No) per year • Journal • ESI Hot Paper • Your institution’s ID Query expected (Yes/No) • Web of science unique identifiers (UT) citations • International Datasets Web of Science core collection (including ESCI). • Journal collaboration normalized (Yes/No) Research management: benchmark based on citation metrics, collaborations (when used with WOS expanded), integration in citation impact • Institutional Applications • Journal Impact collaboration Research Management Systems or Current Research Information Factor (JIF) (Yes/No) Systems (CRIS), VIVO. • Category • Industry Access https://developer.clarivate.com/ expected collaboration citation rate (Yes/No) • Percentile • Open Access flag (Yes/No) (Bold = OK for public display)

16 APIs – Requesting

To get started with our APIs, visit our APIs web page:- https://clarivate.com/webofsciencegr oup/solutions/xml-and-apis/ Click “Request more information” and on the support web page, click “Email Us”. The email needs to state:- • Which APIs are being requested • A description of the intended use • If it is for WoS Expanded or InCites, an indication of the frequency of use and volume of records retrieved should be included. Once approved, full instructions will be provided for the APIs to be accessed via the Developer Portal.

17 APIs – Using

Within the API Developer Portal, clicking on a specific API from the Subscriptions screen, display links to useful resources for that API.

For example, the Swagger definition and Code Samples.

18 APIs – Data Integration Case study

Homegrown systems

Microsoft Power BI

Insert footer 19 APIs – Business

These tools are often used to present information in an easy to digest format. There are lots on the market and the majority will accept a feed from our APIs (JSON being a very common format).

20 More resources Clarivate Libguides Web of Science You Tube Channel http://clarivate.libguides.com/home https://www.youtube.com/user/WoSTraining

Want more resources, tips and guidance to help you research smarter? Sign up for our newsletter at www.webofsciencegroup.com.

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Insert footer 22 Professional Research Data Services Case Studies

Insert footer 23 Professional Research Data Services Case Study 1: Aiding NIH in understanding the research landscape

The Challenge • U.S. Federal advisory committee working established a strategic plan for Autism research coordination throughout the federal government. • Assessing the current research landscape and its alignment with their strategic plan.

Insert footer 24 Professional Research Data Services Case Study 1: Aiding NIH in understanding the autism research landscape

How does the current research activity align with our strategic plan?

Little growth in autism research focusing on the health of individuals across the lifespan.

Automated classification of >10K publications into client-specified categories confirmed by client subject matter experts to be 85% accurate.

Find the full pre-publication draft on the IACC website at: http://iacc.hhs.gov/publications-analysis/july2012/index.shtml Insert footer 25 Professional Research Data Services Case Study 1: Aiding NIH in understanding the autism research landscape

Where are the global hotbeds of research and how collaborative is the field?

The relative contribution of the U.S. is decreasing over time, as BRIC countries increase market share.

Find the full pre-publication draft on the IACC website at: http://iacc.hhs.gov/publications-analysis/july2012/index.shtml Insert footer 26 Professional Research Data Services Case Study 1: Aiding NIH in understanding the autism research landscape

Who are the major funders? Is there sufficient funding from other sources?

Research Footprints

While the federally funded research focuses primarily on basic , other funders contribute to the area of Treatments and Interventions.

Insert footer 27 Professional Research Data Services Case Study 1: Aiding NIH in understanding the autism research landscape

Who are key opinion leaders and rising stars?

Publication View of Leading Researchers 0.018

0.016

0.014 From among researchers with low publication 0.012 metrics, we have identified experts by extending our 0.01 view to include and grant activity. not classified 0.008 Rising Stars 0.006 Senior Researchers

0.004

0.002

Publication Normalized BetweennessCentrality Normalized 0 Count = 4 0 5 10 15 20 25 30 -0.002 Publication History (2015-year of first publication in subtopic)

* Bubble size corresponded to publication count Insert footer 28 Professional Research Data Services Case Study 2: Capturing and tracking all funded outputs as reported by researchers

The Challenge • Creating a custom software application to aid NIH in tracking more of the contributions made by their funded research in an effort to provide a more comprehensive view of the impact of funding basic research.

Insert footer 29 Professional Research Data Services Case Study 2: Capturing and tracking all funded outputs as reported by researchers

Real-time, Dynamic Progress Report Evaluation System (NCI-iTRAQR)

• Improved data collection on progress report forms • Use to identify research areas, collaboration, and merging of fields • Examine research collaborations using co- authorships and network graphs Tracking research output beyond publications gave insight into mentoring, collaborations and conference participation.

2004 2005 2006 2007

2008 2009 2010

Insert footer 30 Professional Research Data Services Case Study 2: Capturing and tracking all funded outputs as reported by researchers

Evolution of data available for to support PSO program management

Manual Data Analysis Before iTRAQR

• Flexible, unified search • Difficult to track individuals’ • Data are entered through an • On-demand Bar, pie, and line Data can be visualized by • Manual data extraction, contributions over time intuitive web-based interface charts and network graphs network, center, person or organization, deduplication • No ability to collectively • Identify data relationships • One-click tabular export time, for a total of over 100 and visualization in Excel search progress reports • Data deduplication • for data behind graphs or possible charts and graphs “report card” tables

Insert footer 31 Professional Research Data Services Case Study 3: Measuring impact, beyond counting publications

The Challenge • While counting publication output and Journal Impact Factors are a critical and accessible way to understand one dimension of research activity, we understands that new metrics are essential to providing a more comprehensive view of the value of basic research funding.

Insert footer 32 Professional Research Data Services Case Study 3: Measuring impact, beyond counting publications

Demonstrating contributions in the of biomarkers

Our expansive Life content is particularly useful for linking grant funding to outputs beyond publication counts.

Where in the pipeline are most of the biomarkers that were supported by NCI?

Validity Status

Within a sample of breast biomarkers, the NIH has contributed significantly to biomarkers in the early studies in humans.

Insert footer 33 Thank You

Bob Green [email protected] webofsciencegroup.com

Web of Science Group retains all intellectual property rights in, and asserts rights of confidentiality over, all parts of its response submitted within this presentation. By submitting this response we authorise you to make and distribute such copies of our proposal within your organisation and to any party contracted directly to solely assist in the evaluation process of our presentation on a confidential basis. Any further use will be strictly subject to agreeing appropriate terms.