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What about Google Scholar when searching information in Human and Physical Geography?

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(1)

What about Google Scholar when

searching information in Human and

Physical Geography?

Simona STIRBU (Ms.)

Library of Sciences and Technologies Geosciences Section

(2)

Google Scholar’s devise:

(3)

Bibliographic Searches in

:

Web of Science GeoRef FRANCIS

AND

?

Google Scholar search engine

(4)

Bibliographic searches & databases

Search results

- repeatability, DB performances

- geographical ref., unique results

- overlap

(5)

Human Geography

Physical Geography

urbanization transportation gentrification immigration tourism sedimentation earthquake tsunami erosion flood

(6)

KEYWORDS

Physical Geography and Human Geography

to find publications of the years 2005 to 2009

RESULTS

references number and type bibliogr. tool contents overlap

in

searched in the TITLE field and

identically repeated monthly from 11/2010 to 05/2011

(7)

Google Scholar:

Breadth of coverage Coverage years Resources Information

Type

500M records Unknown peer-reviewed papers,

theses, books, abstracts and articles, reports from academic

publishers, professional societies, preprint

repositories,

universities and other scholarly organizations

Citations Abstracts Full Text

(8)

Web of

Science

FRANCIS

GeoRef

Breadt h of covera ge 40 million records 10,000 titles Journals (240 open access) & conference papers 2.5 million records(journal articles, books, conference proceedings, dissertations, and reports) 3 million records (3,500 journals, books, maps, government reports, conference papers, theses and dissertations) Covera ge years A&HCI: 1975-present SCI: 1900-present SSCI: 1956-present 1972-present 1933-present 1669- present(for North America) Source http://isiwebofknowledge.

(9)

Bibliographic searches & databases

Search results

- repeatability, DB

performances

- geographical ref., unique

results

- overlap

(10)

When the same search is repeated over time there is little variation in the

number of hits retrieved by the traditional bibliographic tools, while the results

retrieved by GS increases constantly (except for the last search)

0 5 0 0 1 0 0 0 1 5 0 0 2 0 0 0 2 5 0 0 Time M e a n c o u n ts 1 2 3 4 5 6 7 8 DataBase Google WoS GeoRef FRANCIS

(11)

When considering the publication years over the eight searches, the number of results retrieved remains quite similar. The averages computed in GS for 2009 show a more variable pattern than the other years

1 2 3 4 5 6 7 8 0 5 00 1 00 0 1 50 0 2 00 0 2 50 0 Time M ea n c o u n ts 2009 2008 2007 2006 2005 GS

(12)

The number of hits retrieved by the traditional databases is low, while GS reached averages lying between 2000 and 2500 results 0 5 0 0 1 0 0 0 1 5 0 0 2 0 0 0 2 5 0 0 Year M e a n C o u n ts 2005 2006 2007 2008 2009 Data Base Google WoS GeoRef FRANCIS

(13)

The variations for the keywords “earthquake”, “tsunami”, and “tourism” in all the bibliographic tools, are directly linked to events such as tsunami and earthquakes

Year M e a n c o u n ts 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 0 5 0 0 1 0 0 0 1 5 0 0 2 0 0 0 earthquake erosion flood gentrification immigration sedimentation tourism transportation tsunami urbanization Algeria (May)

(14)

For all the keywords searched, GS yields many more results than the

other bibliographic databases, both in human and physical geography

FRANCIS GeoRef GS WoS urbanization tsunami transportation tourism sedimentation immigration gentrification flood erosion earthquake 0 5 0 00 1 0 00 0 1 5 00 0 2 0 00 0

(15)

GS seems to be more efficient in human geography while WoS performs better in physical geography. GeoRef and FRANCIS yield results which are in accordance with their subfield specificities

FRANCIS GeoRef GS WoS

HUM PHYS 0 5 00 1 00 0 1 50 0 2 00 0 2 50 0

(16)

Bibliographic searches & databases

Search results

- repeatability, DB performances

- geogr. ref., type & unique results

- overlap

(17)

Case study: “urbanization” and “sedimentation”

urbanization

sedimentation

No of ref. Geogr. Ref. Grey Lit. Book/ Book Unique

‘05 – ‘09 % % Chapter % Ref/DB GS 4791 57 15 6 2473 WoS 585 47 -- -- 83 GeoRef 99 98 47 4 39 FRANCIS 64 70 -- -- 11 GS 4123 45 34 5 904 WoS 1445 42 -- -- 72 GeoRef 1307 97 32 2 466 FRANCIS 39 85 -- -- 6

(18)

Journal articles represent the most important part of the unique references

Unique reference’s type – urbanization

(19)

% of unique reference’s type - urbanization

Proportionally to the results number, conf. proceedings, reports, and book chapters percentages are significant in GeoRef

(20)

GeoRef provides an important number of unique references, and despite journal articles dominance, other types of literature is also significant

(21)

% of unique reference’s type - sedimentation

Conf. proceedings, thesis, book chapters, and reports percentages are

significant in GeoRef but even more in GS

(22)

Bibliographic searches & databases

Search results

- repeatability, DB performances

- geographical ref., unique results

- overlap

(23)

GS; 78.53% WoS; 2.64% GeoRef; 1.24% FRANCIS; 0.35% Overlap; 17.24%

urbanization

GS; 24.05% WoS; 1.92% GeoRef; 12.40% FRANCIS; 0.16% Overlap; 61.48%

sedimentation

(24)

Bibliographic searches & databases

Search results

- repeatability, DB performances

- geographical ref., unique results

- overlap

(25)

• Results provided by commercial DB’s is stable through time,

while GS encounter more variations

• Results correspond to the DB’s specificity.

• GS seems to be more efficient in retrieving unique references in

human geography, although both domains are well represented.

• Geographers can use GS at least as a complementary tool, for

their bibliographic research. After testing, it may become the

principal tool.

(26)

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