ºÚÁϲ»´òìÈ

MEASURES TO INCREASE THE VISIBILITY OF RESEARCH RESULTS

The key means to increase the visibility of scientific results:

1. Researcher Digital IdentifiersÌý(ORCID, Researcher ID, Scopus Author ID)
2. Dissemination of research findings throughÌýanÌýopen-accessÌýpublishing model
3. Audience-focused dissemination of research findingsÌý(selecting the most appropriate publication in terms of disciplinary coverage and specificity).ÌýFor information on how to choose a publication, click hereÌý>>>
4. Use of informal dissemination sources to publicise research resultsÌý(social networks, personal accounts, blogs, and others)
5. Developing academic relationsÌýandÌýactive cooperation

Practical advice for implementing these means:

• Create your researcher’s IDÌýand profiles (make sure that you have at least an ORCID profile)
• Try to include your researcher ID in all your academic activities, not only when publishing papers, but also, for example, when applying for research funding.
• Include your researcher ID in your personal profile and on social networks so that your name is linked to your published research, whatever the search engine is used for.
• Use the same spelling of your last name throughout your academic career.
• Use the standardised name of your institution and avoid using abbreviations of your institution’s name, as misattribution of a publication to an institution can lead to misattribution to an author (and vice versa).
• Check your publication information in international databases and contact your service provider if you find errors in your name or contact information.
• Provide accurate contact information so that other authors can contact you for further information about the article or for collaboration opportunities.
• Seek out research and publication opportunities yourself, in collaboration with established researchers who are already well known in the academic community.
• Participate in conferences and scientific events. This participation will help you network and collaborate.
• Create aÌýÌýauthor profile.
• Be active in the academic virtual space, engage in discussions, and raise relevant questions and ideas. This will show that you are actively engaged in scholarly activities and will help you to make your competence and experience known.
• Provide links to the persistent identifiers (DOIs, URNs) of your scientific outputs on your social networking account.
• When writing an article, we mention the main (key) concepts/themes of the research in the abstract. Search engines and citation trackers are looking for your abstracts, so repeating keywords more often increases the chances that your article is found and cited.
• Publish your articles in highly reputable and popular publications representing your target audience.
• Host your unpublished research inÌýopen-access repositories.
• Take advantage of social bookmarkingÌýusingÌýMendeley,ÌýZotero, andÌýCiteULikeÌýtools.

AUTHOR IDENTIFIERS

Author identifiers help solve problems with author disambiguation and incorrect attribution of publications to an author (or institution), which may occur due to:

• Changes in the author’s last name during a scientific career (e.g., after marriage)
• High frequency/popularity of author’s last name
• The complexity of the author’s name, leading to several possible spelling variations (e.g. existence of one (or more) middle names and/or surname prefixes)

ORCID

Ìý– is an open, free-of-charge, unique, and persistent researcher ID (Open Researcher and Contributor ID) dedicated to distinguishing researchers’ research activities and results from those of other researchers who carry out similar research and/or have similar names.

Ìýis to enable transparent and trustworthy connections between researchers, their contributions (publications, datasets, participation in projects, received research funding, peer-review activities, etc.), and their affiliations throughout their careers and engagement in research, scholarship, and innovation activities.

ORCID – International Standard

• ORCID is internationally recognized. This tool established by independent and non-profit initiatives is used by:
• research institutions (e.g.,ÌýCERN,ÌýETH Zurich)
• research funders;
• publishers (e.g.,ÌýSpringer Science + Business Media,ÌýElsevierÌýandÌýWiley)
• research societies and organizations (e.g.,ÌýACM,ÌýIEEE);
• databases (e.g.,ÌýWeb of Science,ÌýScopus)

Accordingly, it is recommended that all researchers create an ORCID profile and use their ORCID identifier in all scientific activities they are engaging in.

ORCID benefits for the researcher:

• Increases the visibility and findability of the researcher’s publications and research data.
• ORCID is aÌýuniqueÌýperson identifier. Therefore, ORCID allows us to identify a particular person even in the cases of researchers with identical names, events of surname changes, occurring spelling errors, and/or different spelling variants.
• Links a researcher’s career achievements with research outputs (publications, research data, software, etc.).
• ORCID protects personal and private data.
• Facilitates communication with funders, associations, publishers, repositories, and registration to conferences or other scientific events.
• Facilitates the management of all staff within the university, faculty, department, institute, or research group.
• ORCID is a global system. All information about new publications can be automatically placed in the ORCID profile using the update function.

ORCID profile creation:

1. Sign up:Ìý free and fast registration ().
2. Login:Ìý fill in the ORCID profile, andÌýÌý(such as yourÌýScopus Author IDÌýorÌýResearcherID).
3. Make a listÌýof your published research outputs (manually or by importing publication data from other sources (Google Scholar,ÌýWeb of Science,ÌýScopus,ÌýCrossRef, etc.)).

Privacy and data protectionÌýare the core principles of ORCID. The visibility of all information can be controlled following the provisions of the ORCIDÌý. When signed in, every person can control which profile information and publications are visible to people or groups of people. Only the name and ORCID ID will be made public.

Other researcher IDs

Ìý – is a unique researcher identifier (and profile) created in theÌýÌýdatabase (WoS) environment that allows a researcher to manage their WoS-indexed publications, track citations andÌýh-indexes, and avoid misidentification of the author.ÌýResearcherIDÌýcan be linked to an ORCID profile.

A ResearcherIDÌýprofile can be created on theÌý. If an ORCID profile has already been created, it is possible to move information from one profile to another, view all variations of the author’s name, create a common list of all publications, and so on.

Scopus Author Identifier (AuthorID)Ìý– In the Scopus database, each author of an indexed publication is assigned a unique identifier (AuthorIDs) and associated individual profile. As withÌýResearcherID,ÌýScopus Author IDÌýprofile data can beÌý.

More information about Scopus Author Identifiers can be found hereÌý

ScientometricsÌýis the application of mathematical and statistical methods to quantitative quality assessment.

BibliometricsÌýis aÌýbranch of scientometricsÌýthat focuses on the quantitative assessment ofÌýscientific publicationsÌýandÌýtheir citationÌýdata.

Bibliometric analysisÌýis the mainÌýmethodÌýused toÌýassessÌýand/orÌýcompareÌýtheÌýquality of scientific outputÌýof individual researchers, institutions, and faculties.

For the members of academic community bibliometric analyzes are important and are performed for several main purposes:

• To assess the impact of research results, when applying for a new job, promotion, salary supplement, or research funding;
• Evaluating other researchers for collaborative purposes;
• Choosing a journal for publishing research results;
• Selecting high quality scientific information for studies and graduation works;
• Assessing the relevance of literature sources for subscription;
• Bibliometric data are also analyzed in compiling University rankings.

There are several main objectives for which bibliometric analyses are important for members of the academic community:

• Assess the impact of researchers’ findings on their research, whether for the purposes of applying for a new job, promotion, bonus, or research funding;
• Evaluating other researchers for collaborative purposes;
• Selecting a journal to publish an article;
• Selecting high-quality scientific information for research papers;
• Evaluating the relevance of literature sources for subscription;
• Bibliometric indicators are used for university rankings.

The results of bibliometric analysis are not only applied within academia, but also in a wide range of other areas, such as funding allocation, education policy, curriculum planning, technological and innovation development, economic development, and social issues.

Bibliometric data sources

The main data for bibliometric analyses are scientific publications and citations.ÌýA wide range of sources are currently available to the scientific community, but the most suitable for bibliographic analyses areÌýbibliographic databasesÌý(DB), which do not contain the publications themselves, but their abstracts andÌýmetadata.

Although the number and variety of bibliographic databases have grown considerably over the last decade, the best known and most widely used are theÌýÌýandÌýÌýdatabases (DB).

Both of these DBs are:

• MultidisciplinaryÌý– covers different scientific fields and types of scientific publications.
• Selective, that is, only scientific publications published in the highest-quality journals are included (indexed). Publications are selected for indexing by specially appointed committees using strict selection criteria.
• CommercialÌý– full access to the indexed content and analysis tools is only available to members of the DB subscribing institutional community. ºÚÁϲ»´òìÈ subscribes to both DBs, but access is only available from ºÚÁϲ»´òìÈ host computers and can only be accessed outside the University through aÌýVPN service. It should be noted that the Scopus DB is partially open and provides author and publication information for the public (free of charge).

Detailed information on the WoS and Scopus databases can be found in theÌýScientific CommunicationÌýsection on the ºÚÁϲ»´òìÈ Library website.

Google Scholar (GS)Ìýis a publicly available academic literature search engine. It is the most widely used source of academic literature, but the primary sources of GS data and citation data are not fully reliable. By creating a GS account, you can increase the visibility of your publications, monitor the citation rate of your publications, and see who has cited your article.

For subject-specific data analyses, it may be more convenient to use data fromÌýspecialized DBsÌý(e.g.,ÌýPubMed,ÌýEconList,ÌýERIC,ÌýPsycINFO, etc.).

The main tools for evaluating scientific output areÌýscientometric indicators. These are estimates of theÌýquantitative qualityÌýof scientific output (publications) based on mathematical formulae and/or specially designed algorithms.
They are determined using data onÌýpublications and citationsÌýon the assumption that if a scientific paper has been cited, this is evidence of the significance/impact of the research and/or its results on scientific progress.

SCIENTOMETRICS INDICATORS

Source quality (impact) indicatorsÌýareÌýthe most widely used in the evaluation of scientific results. These indicators are designed to assess the quality ofÌýpublicationsÌý(mostlyÌýjournals). However,Ìý theyÌýare notÌýindicators for assessing the performance of a researcher.ÌýNor do theyÌýindicateÌýthe quality of an individual articleÌýpublished in a journal. An article published in a journal with a high index of the journal is not necessarily better in quality than an article published in a journal with a lower index.

The quality indicators for publications are available in the main bibliographic databasesÌýÌýandÌý.
Both databases provide different Scientometric indicators for assessing the quality of a publication but in terms of the principle of their calculation and their intended use, they can be seen as equivalents of the same type of indicators.

For detailed information on the key publication quality indicators provided by Scopus and WoS, their calculation principles, similarities, and differences, seeÌýhereÌý>>>

h-indexÌý(Hirsch Index) has been developed to assess the productivity ofÌýresearchersÌýand the quality of their output but can also be used to assessÌýinstitutions,ÌýsourcesÌýor any otherÌýsets of publications. This indicator is calledÌýhybridÌýbecause it measures bothÌýqualityÌý(citations) andÌýquantityÌý(number of publications).
h-indexÌý= number of publications (of an individual, institution, or other evaluated entity)Ìýh, which were each cited at leastÌýhÌýtimes.

h-index values for authors are presented in all major bibliographic DBs, such asÌýÌýÌýandÌý.

Important!ÌýDifferent DBs provide different numbers of citations andÌýh-index values, as these indicators are determined only from the data indexed in that DB.

More information about the different metrics is provided in theÌý

SCIENTOMETRICS INDICATORS USE

• These indicators estimate the average level of quality of the scientific output published in the journal (or other periodical sources), i.e., individual publications published in the same source may differ significantly in their quality (both fundamentally and by citation levels) and therefore cannot be judged based on the overall impact of the journal;
• In addition to the chosen source in which the publication is published, the quality and/or citation of an individual publication is influenced by several factors, such as research discipline, specificity of the subject, popularity and relevance of the research, country of implementation and/or publication, language, and even co-authors. However, many of these aspects are not considered in the calculation of the most widely used journal indicators, again showing their inadequacy in assessing the quality of individual publications.

The following should be considered when using science metrics:

• A high number of citations does not necessarily indicate high publication quality. For example, authors may cite an article by criticising it or refuting its conclusions or results;
• In some disciplines (e.g., medicine), articles are traditionally cited more often than in others (e.g., humanities);
• Researchers at different stages of their careers should not be directly compared. Experienced researchers tend to have higher indicator values than young researchers;
• The indicator values may vary depending on the database used for the evaluation of the results.

The main principles of the proper use of Sciencometric indicators in practise are announced in:
DORA DeclarationÌý.

The main principles of DORA:

• Eliminate the use of journal-based evaluation in the assessment of research and researchers;
• To assess researchers and research, evaluation systems designed for their evaluation should be used;
• Use scientific technologies to improve scientific communication and evaluation of scientific input.

.

With the emergence of new forms of scholarly communication and the growing number and variety of electronic publications,Ìýalternative indicators for evaluating scholarly outputÌýbased onÌýusageÌýandÌýpopularityÌýdata (e.g., number of views, number of downloads, hashtags, mentions on social networks, blogs, videos, comments, number of shares, etc.) have started to be developed and applied.

Altmetric indicatorsÌýare primarilyÌýqualitativeÌýquantified indicators that complement traditional science evaluation (scientometric) by measuringÌýnot only the scientificÌýbut also theÌýsocialÌýrelevance and impact of scientific research.

Altmetric dataÌýare derived from a wider range of sources for the dissemination of information that is used not only by academia but also by the general public. This has the added advantage that alternative data accumulate much moreÌýquicklyÌýthan traditional citation rates, allowing for faster insight and assessment of trends in research impact. Providers of alternative evaluation indicators collect data from open sources.

Good to know:ÌýAlternative indicators provide a wide range of information, but it should be noted that these indicators do not have a precise definition (a standardised definition is currently being developed by theÌýInitiative). Accordingly, these indicators are not standardised, different suppliers collect different types of data, making it difficult to compare different altmetric datasets. As alternative indicators are just beginning to gain acceptance in academia, they are usually only listed in recently published papers, which means that you may not find them in later papers.Ìý In addition, altmetric indicators are usually only available for publications that have a DOI.

The main providers of altmetric data:

Ìýis one of the best-known altmetric data platforms, covering a wide range of different types of scientific output data on usage and popularity. It uses a unique symbol to visualise the impact of research results. It can be added to your article (as a badge), data set, or other scientific output.

Ìý– By creating a profile on this website you will be able to followÌýTwitterÌýand blogposts.

Ìý– On this website, you can enter the DOI of a publication to see how many times it has been mentioned online. The information is only available for publications published since 2017.

Ìýis a tool for capturing and mapping data for the use of scholarly output, owned by Elsevier and integrated into its platform. Plum Analytics collects data not only on scholarly publications, but also on datasets, open access publications, presentations, blogs, and other types of scholarly output.
Plum AnalyticsÌýrange of indicators consists of five categories:

• Citations
• Usage (number of clicks/views)
• Captures (number of downloads, inclusion of publications in readers’ digital libraries (Mendeley))
• Mentions (on news sites, blogs, Wikipedia)
• Social media (likes, shares)

Ìýis an initiative developed by university researchers around the world to set common standards for science assessment. These metrics are not linked to any single data provider or tool.

Altmetric data monitoring tools:

• Ìýis a free tool that, once downloaded and installed, helps you find altmetric indicators (by DOI) for any scientific output.
• Ìýis an online digital repository for research that displays Altmetric symbols for published data. Users of this repository can access all data from all online comments, shares and related discussions.
• Ìýprofile – allows you to easily track the impact of your research by linking this profile to your online published research results.

Good to know:ÌýAltmetric data is available for allÌýÌýDB andÌýÌýpublisher journal publications.
Almetric indicators are also available in the. These indicators are displayed at the bottom of the publication entry:

For more information on the various indicators, visit theÌý.

ºÚÁϲ»´òìÈ Library staff will assist you with any questions related to bibliometric indicators and provide necessary consultations:

• By e-mail:Ìýpublikacijos@vilniustech.ltÌý
• by phone (0 5) 274 4903
• by visiting the Scientific Information Department (S1, room 109)