Elsevier - Scopus Quick Guide 07.2017 „Introduction to ... · 1. More than 530 book series. ......

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Max Planck Institute of Biochemistry, Scientific Information Services f. the Biomedical Section, Elisabeth Schlagberger Elsevier - Scopus Quick Guide 07.2017 „Introduction to Scopus” (Elsevier) Résumé of the Webinar Short Overview 1. Data Collections and Content (including document types) p. 2 - 3 2. Different Search Options p. 3 - 6 a.) Document Search e.g. for medical terms p. 4 - 5 b.) Affiliation Search p. 5 - 6 c.) Possibility of an Author Search p. 8 - 9 3. Functions (Analyze data and export data) p. 9 - 10 4. Alternative Metrics: Altmetrics Data p. 10 - 12 5. Advanced Search: p. 12 - 15 Work with Boolean operators (and, or, not) p. 12 - 14 Proximity characters, wildcards & truncation p. 15 6. Set alerts and save records to lists p. 15 - 16 Information about the provider Elsevier, Netherlands: The Scopus database is a bibliographic database and an online-subscription-based database maintained by Elsevier, part of the Anglo-Dutch Reed Elsevier Group. Access via: www.scopus.com. Scopus has been introduced in 2004. Scopus contains bibliographic and citation data It may be used to search for documents, authors or author’s affiliations An Advanced Search is also offered.

Transcript of Elsevier - Scopus Quick Guide 07.2017 „Introduction to ... · 1. More than 530 book series. ......

Page 1: Elsevier - Scopus Quick Guide 07.2017 „Introduction to ... · 1. More than 530 book series. ... Dvorak or Dózark. ... Milan 2010, “Altmetrics”, p. 7. Max Planck Institute of

Max Planck Institute of Biochemistry, Scientific Information Services f. the Biomedical Section, Elisabeth Schlagberger

Elsevier - Scopus Quick Guide 07.2017

„Introduction to Scopus” (Elsevier) Résumé of the Webinar

Short Overview

1. Data Collections and Content (including document types) p. 2 - 3

2. Different Search Options p. 3 - 6

a.) Document Search e.g. for medical terms p. 4 - 5

b.) Affiliation Search p. 5 - 6

c.) Possibility of an Author Search p. 8 - 9

3. Functions (Analyze data and export data) p. 9 - 10

4. Alternative Metrics: Altmetrics Data p. 10 - 12

5. Advanced Search: p. 12 - 15

Work with Boolean operators (and, or, not) p. 12 - 14

Proximity characters, wildcards & truncation p. 15

6. Set alerts and save records to lists p. 15 - 16

Information about the provider Elsevier, Netherlands:

The Scopus database is a bibliographic database and an online-subscription-based database

maintained by Elsevier, part of the Anglo-Dutch Reed Elsevier Group.

Access via: www.scopus.com.

Scopus has been introduced in 2004.

Scopus contains bibliographic and citation data

It may be used to search for documents, authors or author’s affiliations

An Advanced Search is also offered.

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1.) Data Collections and content (including document types)

For Scopus Content Coverage please find the information under the Link:

https://www.elsevier.com/solutions/scopus/content. (Data information has been derived in

01/2016) or http://www.biochem.mpg.de/5522945/elsevier_scopus_content_coverage_guide.pdf

Note important:

Citations are added only from publications appearing since 1996, but citations from before this

date are being added on an ongoing basis.

Scopus from Elsevier comprises a retrieval system and different data collections.

More than 21,600 peer-reviewed journals in 2017, (including 4,200 full open access journals).

1. More than 530 book series.

2. More than 7.2 million conference papers from over 83,000 worldwide events.

3. “Articles-in-press” from more than 5,000 journals.

4. 38+ million records with references dating back to 1996 of which 84% include references.

5. 22+ million records pre-1996 going back as far as 1983.

Scopus includes five international & national patent-databases:

Scopus contains more than 27 million patent records of five known international patent databases:

- WIPO –World Intellectual Property Organization.

The patent-data were derived from https://patentscope.wipo.int/search/en/search.jsf.

- EPO- European Patent Office.

The patent-data were derived from https://www.epo.org/index.html.

- USPTO –from the US Patent Office

The patent data were derived from http://patft.uspto.gov/netahtml/PTO/search-bool.html.

- IPO-Gov UK. from the Intellectual Property Office, UK.

The patent data were derived from

https://www.gov.uk/government/organisations/intellectual-property-office

- JPO - Japanese Patent Office

The patent data were derived from https://www.jpo.go.jp.

Please note at the upper colored bar at the left side “View secondary documents”, and “View

32961 patent results” linked to patent results.

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Scopus contains additional data from the following databases:

1. Entree: EMBASE – for pharmaceutical, medical and life sciences literature.

2. Mesh: MEDLINE from the PubMed database (with PubMed-Number) from the US national

Library of Medicine from the National Institute of Health.

3. CAS numbers: from Chemical Abstracts (CAS) from the American Chemical Society. Go to

http://www.cas.org.

4. SEQ-Bank –Sequence Bank - a gene bank. See https://www.ncbi.nlm.nih.gov/genbank

2. Different Search Options

a.) Document Search (Basic Search) finds information in 18 search fields: as follows

“All fields”. (Article, Abstract, Keyword), Authors, First Author, Source title, Article title, Abstract,

Keywords, Affiliation name with subcategories, language, ISSN, CODEN, DOI, References, Conference,

(together Article, Keywords, Abstract, Authors), Chemical name and CAS number.

What does Scopus automatically with equivalents?

Scopus includes equivalents like British or US-American English word variations, foreign names like Dvorak or Dózark. Punctuation is ignored. Stop words like “the”, “it” and “of” are excluded from the search. If you don’t specify anything between two words, Scopus joins them with ”and”. To search for a phrase (like title) put the search in parenthesis. With the order-button “Reset form” the current search is deleted.

Different options in Scopus: see at the horizontal line above.

- Search (Document / Basic; Authors; Affiliations; Advanced) - Sources (CiteScore metrics for serials means for journals and book series). - Alerts (Search Alerts, Author Alerts, Document Citation Alerts generated by the user himself) - Saved list (generated by the user himself) - Help (tutorials by Elsevier) - SCIVAL (for Authors, currently not licensed by the Max-Planck-Society).

b.) Search in Abstract & Title-Information This includes the following information:

- Author keywords (provided with the paper by the author himself). - Entrée medical terms - MeSh (Indexing Medical Subject Heading (MESH) from MEDLINE. - Species index.

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Search for the medical terms “lung” and “cancer”. The search terms are marked in yellow. Scopus searches for both terms. The AND is automatically

added. The search terms entered are marked in yellow.

Reduce the results with different search terms in the “Article, Abstract, Keyword-Search” The query with ((“lung cancer” AND “smoke”) and “heart attack”) finds only 17 results!

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Search for protein or gene names like p53 in Abstract, Title and (Indexed) Keywords Title, Abstract, Keyword –Search

The record results are shown in a chart on the right side. General information to the Affiliations in Scopus The order of an affiliation (institution’s address) has been provided by the author himself with the paper and the publisher. This is the explanation for the unspecific order of the affiliations like Institution, department or department, institution or Center.., Division, Name of the Hospital.

c.) The Affiliation-Search: put in the searched institute’s name like e.g. choose the button “Affiliation”. “Max-Planck Institute of Biochemistry” or the German institution’s name “Max Planck Institut für Biochemie” (with German Umlaute). Scopus includes the Max Planck Institute names in English and national language.

The affiliation offers Max Planck Institute of Biochemistry beneath Max-Planck-Institut für Biochemie.

Click to the Affiliation name to get the Affiliation-ID and further information below.

CAS

Registry

number

(Scifinder)

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AF-ID: exists of an eight-digit ID number.

Affiliation details:

The user will get the information to documents assigned via ID to the address “Am Klopferspitz 18,

Planegg”.

Scopus lists the “Collaborating affiliations” (co-publishing institutions in order of documents, left

side) and “Documents by source” (right side).

Please note: The assignment of publications has to be checked properly because the number of

records, patents etc. could be incomplete.

E.g. In this case the number of patent results (with 4 results) must be incorrectly on a first glance.

To get the correct publication-affiliation continue to work with the Affiliation-ID in the “Advanced

Search”. Therefore copy here the affiliation-ID and add the field-code AF-ID for Affiliation-ID.

Continue the search with the Affiliation –ID entered in the “Advanced Search”.

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The information to any publication includes: Title, Authors, Year, Source (Journal title) and “Cited

by” (citations).

The button table lists the subject areas by documents. The circular chart shows the distribution of

the publishing documents by subject areas.

Touch the screen and Scopus shows the number of documents in each category.

This table can be exported as chart via green export button (here are two options offered) above:

Export Affiliations Data and Charts.

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The chart can be exported as data to a CSV file or to a chart as zip-file (with screen in JPG picture

format or PNG picture format). The data can be printed (see print-symbol in Green) or send per e-

mail (see e-mail symbol in green).

e.) A possibility for an Author Search

Enter the author-name and combine with his / her affiliation (institution).

Please note: The Author-Id connection is not reliable. You have to check the results.

Correct affiliation’s name, but

better choose both variations

or “Max Planck Institute

Biochemistry” (leave out “of”

or “for”) to include all

abbreviations, here. Scopus

does not exclude stop

words!**

Be careful in using the

Author-ID for search

results. It could be

incorrectly affiliated.

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3.) Analyze the documents and Export data

Sortation of results to get information to highly cited documents, first authors and journal titles.

Sort the records with the button on the right side. Sort on (in nine possibilities).

- Date (newest)

- Date (oldest)

- Cited by (highest)

- Cited by (lowest)

- Relevance

- First Author (A-Z)

- First Author (Z-A)

- Source Title (A-Z)

- Source Title (Z-A)

Scopus offers two possibilities to download and export (more) data via different options (or

products):

The record information can be included in the reference management system sMendeley (Elsevier

product, an open source product), RefWorks, RIS format (the reference management system

EndNote from Clarivate Analytics, licensed by the MPG; the Reference Manager, (an open source

product); CSV (Excel), BibTex, Text (ASCII in HTML).

First possibility: Choose the number of records via Button “All” on left side (“Select all” or “Select

page”). Click the blue button and open “RIS export” on the left side.

A window will be opened (with the export possibilities):

The second possibility is to download and export single data records after having chosen the records

via title.

The record will be included in your opened EndNote desktop

version automatically. Choose the exported RIS-format

dataset and it will be imported automatically.

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Document types:

The different document types are defined in the Scopus content coverage guide (see reference, p. 9).

Scopus includes the following document types as follows:

Article, article in press, book (monograph), book chapter, conference paper, editorial, erratum,

letter, note, review, short survey.

Not included in Scopus are: book reviews, conference meeting abstracts.

Note: There is a double classification for article / book chapter and article / conference papers.

4.) Alternative Metrics: Altmetrics Data

Scopus has integrated Altmetrics data / alternative metrics from the provider www.altmetrics.com

(You find this next to the publication on the right side)

Further help: https://service.elsevier.com/app/answers/detail/a_id/12031/supporthub/scopus

Definition “Altmetrics”

“It is a short form for alternative metrics. It describes indicators able to capture the diffusion of a

single research product in online tools and environments (e.g. scholarly and general audience blogs,

scholarly social networks as Research Gate or Academia.edu, social networking services like Twitter

or Facebook, online reference managers like CiteULike, Mendeley and Zotero, postpublication peer

reviews.”

Cited after: Todeschini, R.; Baccini, A.: “Handbook of Bibliometric Indicators. Quantitative Tools for

Studying and Evaluating Research”, Milan 2010, “Altmetrics”, p. 7.

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The citations are divided into the categories: Overview, Citations, Scholarly Activity (Mendeley

Readers, CiteULike etc.), Scholarly commentary (Reviews, articles, and blogs by experts and scholars,

such as F1000 Prime, research blogs, and Wikipedia) and Social Activity (Twitter, Facebook).

Citations:

Charts from Altmetrics’ Data (other publication).

For further explanation to “Citation Count”, cited by Scopus, go to the blue snowball-symbol.

It is possible to exclude self-

citations and citations from

books!

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Further information find here: https://www.snowballmetrics.com

Indicator: Citation Benchmarking

In this case the 99th percentile is “compared to Computer Science articles of the same age and document type.” A 99% percentile is a very good mark (best=100%). The publication has been cited many times and belongs in its subject field to the best.

Scholarly Activity

Note: The Reference Management System Mendeley (Elsevier product, part of Scopus) could take

only data from registered users; which use the open-source online-version, installed at the user’s

computer! If you want to be anonymous, choose the desktop-version of Mendeley.

5.) Advanced Search: Combine fields and combine queries in the Search History.

The search form “Advanced search” is recommended for a more detailed search. On the right side

are the Boolean Operators (AND, OR, NOT) and the Wildcards -Operators (PRE and W).

The user finds the search history under both search-possibilities “Basic Search” or in the field

“Advanced Search”.

Advanced Search: the use can combine up to 64 field options.

Combine the different options below with the Boolean operators.

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The fields are as listed below:

Abs, Affil-ID, Affil City, Affil Country, Affil Org, ALL, Artnumber, AU-ID, Auth, Auth Collab, Auth First,

Auth Key, Author Lastname, Auth-Name, Book Pub, CAS regnumber, Chem, Chemname, Coden, Conf,

Confloc, Confsponsors, Doctype, Edfirst, Editor, Edlastname, Exact srctitle, Fund Sponsor, Fund-Al,

Fund-No, Index (for MEDLINE only), Index terms, ISBN, ISSN, ISSNP, EISSN, Issue, Key, Language,

Manufacturer, Page first, Page last, Pages, PMID, Pubdattxt, Pub Year, Ref, Refortnum, Refauth,

Refpage, Ref page first, Ref pubyear, Refsrctitle, SeqBank, Seqnumber, Scrtitle, Srctype, Subjarea,

Title, Title-Abs, Title-Abs-Key, Tradename, Volume, Website.

To find the names for the abbreviation; go to the link:

https://service.elsevier.com/app/answers/detail/a_id/11236/supporthub/scopus/#tips

Click to each field, then a window opens and click the blue button and click “AD” (field).

Affiliation “Technische Universitat Munchen”, next search correct affiliation with the AAF-ID("60019722") and add the (AU=Rost, B; for Rost, Burkhard, Prof. for Bioinformatics.

#4 AFFIL (technische AND universitat AND munchen) or AF-ID (“Technische Universitat Munchen”

60019722) AND AUTH (rost, b)

#3 AF-ID or AF-ID (“Technische Universitat Munchen” 60019722) AND AU=(Rost, AND b)

#2 AFFIL (technische AND universitat AND munchen) or AF-ID (“Technische Universitat Munchen”

60019722)

#1 AFFIL (technische AND universitat AND munchen)

- The combination with “Technische Universitat Munich” does not lead to more results.

- Best possibility for TU –Munich: AAF-ID("60019722") with AND AUTH=Rost, B. (see last

query).

Combine

#17 AND

#22 = #23

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Search for special topics in combination with the MPIs. Search history: #2 AD-ID (“Max Planck Institute of Biochemistry” 6006070) AND ABS (“chaperone”) #1 AF-ID (“Max Planck Institute of Neurobiology” 60011686) AND ABS (“multiple sclerose” OR “ms”) finds 84 results.

Definition of proximity characters in Scopus: W/n: Indicates distance between words, but not the order. Pre/n: Terms must appear in a specific order between words - e.g. behavioral PRE/3 disturbances,

where behavioral precedes disturbances within three words)

Wildcards (* and ?)

The Star *: Replaces zero or more characters in the Advanced Search- e.g. for title-abstract-search

ABS (cardio*) finds word variations with cardio like cardiovascular or cardiomyopathies etc.

Document Search AFFILIATION=C*sar in combination with the field AFFILIATION City=Bonn.

C*sar as search term for Caesar, (the Center for advanced European studies and research, associated

with the Max Planck Society, founded in 1995) finds Caesar or Ceasar or CSAR or Cesar. The

documents have to be checked. (Note: search for the complete number of documents with the

Affiliation-ID, see p.5-7.)

The interrogation mark ? : Replaces a single character - in the Advanced Search e.g. AFFILCITY

(Nure?berg) finds Nuremberg, Nurenberg or AFFILCITY (M?nchen) finds München or Munchen.

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7.) Set alerts and save records to lists

A.) Set your own alerts

How to set an alert for the user’s own queries?

The user has to enter your requested credentials - via Login & Password (LOGIN above). You have

to register before.

There are three forms of alerts. The user can find his set alerts under “Alert” in Scopus’ horizontal

line above.

1. Set an alert next to a publication (to the article) and click the blue button:

“Set Citation alert” or “Set citation feed” (see screen below).

Then you will regularly be informed about citations.

2. Author Alert to get informed regularly about the author’s publications.

3. Enter your query, which will be saved in your “Search History” below.

Scopus takes the last query (#) in your search history. Choose as “frequency” every week or daily.

Then the alert is set and you will be informed regularly. Choose for frequency between weekly or

daily on which day. Scopus updates daily.

Afterwards the user will get an e-mail that the alert was set.

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B.) Save searches to Lists

The “saved searches” can be found under “Lists” in the heading categories from Scopus.

The user has to select the symbol next to the star Save to list.

A window will open to enter the details:

C.) Create bibliography: Quick Bib

The user has to select the symbol “Create bibliography.” Choose between Text or HTML-Format and

select a special style (10 different styles).

Note: Elsevier is allowed to collect details from the user’s credentials. The reference management

system Endnote is licensed by the MPG.

https://www.elsevier.com/legal/privacy-policy

For further questions, comments or critique please contact per e-mail

[email protected].

References:

https://www.elsevier.com/solutions/scopus/content (PDF from Elsevier)

Todeschini, R.; Baccini, A.: Handbook of Bibliometric Indicators. Quantitative Tools for Studying and

Evaluating Research, Milan 2010.