Papers of interest to readers of the SIG-Metrics List (July 15, 2015)

[Eugene Garfield]

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Title:
Defining and identifying Sleeping Beauties in science

Authors:
Ke, Q; Ferrara, E; Radicchi, F; Flammini, A

Author Full Names:
Ke, Qing; Ferrara, Emilio; Radicchi, Filippo; Flammini, Alessandro

Source:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 112 (24):7426-7431; 10.1073/pnas.1424329112 JUN 16 2015

Language:
English

Document Type:
Article

Author Keywords:
delayed recognition, Sleeping Beauty, bibliometrics

KeyWords Plus:
JOURNAL IMPACT FACTOR; DELAYED RECOGNITION; CITATION NETWORKS; SCIENTIFIC IMPACT; COMPLEX NETWORKS; COLLABORATION; DISTRIBUTIONS; PUBLICATION; ADVANTAGE; EVOLUTION

Abstract:
A Sleeping Beauty (SB) in science refers to a paper whose importance is
not recognized for several years after publication. Its citation history
exhibits a long hibernation period followed by a sudden spike of
popularity. Previous studies suggest a relative scarcity of SBs. The
reliability of this conclusion is, however, heavily dependent on
identification methods based on arbitrary threshold parameters for
sleeping time and number of citations, applied to small or
monodisciplinary bibliographic datasets. Here we present a systematic,
large-scale, and multidisciplinary analysis of the SB phenomenon in
science. We introduce a parameter-free measure that quantifies the
extent to which a specific paper can be considered an SB. We apply our
method to 22 million scientific papers published in all disciplines of
natural and social sciences over a time span longer than a century. Our
results reveal that the SB phenomenon is not exceptional. There is a
continuous spectrum of delayed recognition where both the hibernation
period and the awakening intensity are taken into account. Although many
cases of SBs can be identified by looking at monodisciplinary
bibliographic data, the SB phenomenon becomes much more apparent with
the analysis of multidisciplinary datasets, where we can observe many
examples of papers achieving delayed yet exceptional importance in
disciplines different from those where they were originally published.
Our analysis emphasizes a complex feature of citation dynamics that so
far has received little attention, and also provides empirical evidence
against the use of short-term citation metrics in the quantification of
scientific impact.

Addresses:
[Ke, Qing; Ferrara, Emilio; Radicchi, Filippo; Flammini, Alessandro] Indiana Univ, Sch Informat & Comp, Ctr Complex Networks & Syst Res, Bloomington, IN 47408 USA.

E-mail Addresses:
aflammin at indiana.edu

Funding Acknowledgement:
National Science Foundation [SMA-1446078]

Funding Text:
We thank Claudio Castellano, Filippo Menczer, Yong-Yeol Ahn, Cassidy Sugimoto, and Chaoqun Ni for insightful discussions, and the American Physical Society for making the APS dataset publicly available. This work is partially supported by National Science Foundation (Grant SMA-1446078).

Cited Reference Count:
57

Times Cited:
0

Publisher:
NATL ACAD SCIENCES, 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA

ISSN:
0027-8424

Web of Science Categories:
Multidisciplinary Sciences

Research Areas:
Science & Technology - Other Topics

IDS Number:
CK5GS

Unique ID:
WOS:000356251800039

PubMed ID:
26015563

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Title:
A *bibliometric* method for measuring the degree of technological innovation

Authors:
Yeo, W; Kim, S; Park, H; Kang, J

Author Full Names:
Yeo, Woondong; Kim, Seonho; Park, Hyunwoo; Kang, Jaewoo

Source:
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 95 152-162; 10.1016/j.techfore.2015.01.018 JUN 2015

Language:
English

Document Type:
Article

Author Keywords:
Technology forecasting, Technological product innovation, Product life cycle (PLC), Bibliometrics, Data mining, Kullback-Leibler divergence, Mobile phone

KeyWords Plus:
FORECASTING EMERGING TECHNOLOGIES; EVOLUTION; INDUSTRY; MODEL

Abstract:
Knowing the degree and stage of a product's innovation is essential for
technological forecasting and beneficial for governments and firms that
want to come up with product promotion strategies and prioritize
investments. Bibliometric analysis has been widely used as a practical
tool to evaluate scientific activities. Although there were many
bibliometric-based attempts to model product innovation stages, there
have not been any trials that approach it from the standpoint of
uncertainty reduction in technological product innovation. This paper
suggests two hypotheses: 1) at a macro level, the year-to-year
difference in relative research volumes of each component decreases over
time as the uncertainty of a product decreases; and 2) at a micro level,
the year-to-year difference in relative research volumes of each
component is correlated with the technological life cycle of a product's
core component. In addition, we provide empirical evidence that supports
the hypotheses in the case study of mobile phones. From the evidence, we
conclude that bibliometric analysis using research papers can measure
the uncertainty in a product's technological innovation. (C) 2015
Elsevier Inc. All rights reserved.

Addresses:
[Yeo, Woondong; Kang, Jaewoo] Korea Univ, Dept Comp Sci & Engn, Coll Informat, Seoul 136713, South Korea.
[Yeo, Woondong; Kim, Seonho; Park, Hyunwoo] Korea Inst Sci & Technol Informat, Seoul 130741, South Korea.

E-mail Addresses:
wdyeo at kisti.re.kr; haebang at kisti.re.kr; hpark at kisti.re.kr; kangj at korea.ac.kr

Funding Acknowledgement:
National Research Foundation of Korea (NRF) - Korean government (MSIP) [2012R1A2A2A01014729]; Next-Generation Information Computing Development Program through NRF MISP [2012M3C4A7033341]

Funding Text:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP) (2012R1A2A2A01014729) and the Next-Generation Information Computing Development Program through NRF MISP (2012M3C4A7033341).

Cited Reference Count:
44

Times Cited:
0

Publisher:
ELSEVIER SCIENCE INC, 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA

ISSN:
0040-1625

eISSN:
1873-5509

Web of Science Categories:
Business; Planning & Development

Research Areas:
Business & Economics; Public Administration

IDS Number:
CK4NV

Unique ID:
WOS:000356201400013

Cited References:
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Daim Tugrul U., 2006, TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, V73, P981
Foster R., 1986, Innovation: The Attacker's Advantage,
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Ryu Jiyeon, 2011, TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, V78, P1049
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Title:
Have the "mega-*journals*" reached the limits to growth?

Authors:
Bjork, BC

Author Full Names:
Bjork, Bo-Christer

Source:
PEERJ, 3 10.7717/peerj.981 MAY 26 2015

Language:
English

Document Type:
Article

Author Keywords:
Open access, Open access journal

Abstract:
A "mega-journal" is a new type of scientific journal that publishes
freely accessible articles, which have been peer reviewed for scientific
trustworthiness, but leaves it to the readers to decide which articles
are of interest and importance to them. In the wake of the phenomenal
success of PLOS ONE, several other publishers have recently started
mega-journals. This article presents the evolution of mega-journals
since 2010 in terms of article publication rates. The fastest growth
seems to have ebbed out at around 35,000 annual articles for the 14
journals combined. Acceptance rates are in the range of 50-70%, and
speed of publication is around 3-5 months. Common features in
mega-journals are alternative impact metrics, easy reusability of
figures and data, post-publication discussions and portable reviews from
other journals.

Addresses:
Hanken Sch Econ, Dept Management & Org, Helsinki, Finland.

E-mail Addresses:
Bo-Christer.Bjork at hanken.fi

Cited Reference Count:
21

Times Cited:
0

Publisher:
PEERJ INC, 341-345 OLD ST, THIRD FLR, LONDON, EC1V 9LL, ENGLAND

ISSN:
2167-8359

Article Number:
e981

Web of Science Categories:
Multidisciplinary Sciences

Research Areas:
Science & Technology - Other Topics

IDS Number:
CK6NT

Unique ID:
WOS:000356345500005

PubMed ID:
26038735

Cited References:
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Title:
Endovascular Treatment for Extracranial Carotid Stenosis: A 10-Year *Bibliometric* Analysis

Authors:
Yun, EJ; Yoon, DY; Kim, BN; Min, KJ; Kim, BY; Ku, YJ

Author Full Names:
Yun, Eun-Joo; Yoon, Dae-Young; Kim, Bit-na; Min, Kyung-Joon; Kim,
Bo-Yeon; Ku, You-Jin

Source:
VASCULAR AND ENDOVASCULAR SURGERY, 49 (1-2):16-23; 10.1177/1538574415585128 JAN-FEB 2015

Language:
English

Document Type:
Article

Author Keywords:
bibliometric study, publications, research productivity, carotid stenosis, endovascular treatment

KeyWords Plus:
ARTERY STENT PLACEMENT; ENDARTERECTOMY; RADIOLOGY; ARTICLES; JOURNALS; GLOBALIZATION; PUBLICATION; AUTHORSHIP; TRENDS; AJR

Abstract:
Introduction: Bibliometric analysis is a quantitative method that can
evaluate publications related to a specific topic.
Methods: A PubMed database search was conducted from 2003 to 2012 using
the search term carotid AND stenos* as a part of the title or abstract.
Results: A total of 1590 articles were published in 329 different
journals. A total of 751 (47.2%) publications were original articles,
1501 (94.4%) were written in English, 153 (9.6%) received funding, 584
(36.7%) were published by the United States, and 673 (42.3%) resulted
from multidisciplinary collaboration. Of the original articles, 538
(71.6%) had retrospective design and 275 (36.6%) had sample size of <50.
Vascular surgery departments produced the most articles (n = 339,
21.3%), followed by radiology (n = 270, 17.0%), cardiology (n = 260,
16.4%), neurosurgery (n = 198, 12.5%), and neurology (n = 196, 12.3%).
Five major departments published only a small portion (5.1%-26.5%) of
articles in their own specialty journals.
Conclusion: The publication in journals across disciplines and
multidisciplinary collaboration are 2 peculiar characteristics of
research in this topic.

Addresses:
[Yun, Eun-Joo; Yoon, Dae-Young; Kim, Bit-na; Min, Kyung-Joon; Kim, Bo-Yeon; Ku, You-Jin] Hallym Univ, Coll Med, Kangdong Seong Sim Hosp, Dept Radiol, Seoul 134701, South Korea.

E-mail Addresses:
evee0914 at chollian.net

Cited Reference Count:
23

Times Cited:
0

Publisher:
SAGE PUBLICATIONS INC, 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA

ISSN:
1538-5744

eISSN:
1938-9116

Web of Science Categories:
Surgery; Peripheral Vascular Disease

Research Areas:
Surgery; Cardiovascular System & Cardiology

IDS Number:
CK8SC

Unique ID:
WOS:000356507400004

PubMed ID:
25952833

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Title:
The Analysis of Research Hotspots on Agricultural Insurance Based on Web of Science *Bibliometric* Study

Authors:
Li, CJ; Zeng, YZ

Author Full Names:
Li, Chunjie; Zeng, Yuzhen

Edited by:
Lee L

Source:
2014 2ND INTERNATIONAL CONFERENCE ON SOCIAL SCIENCES RESEARCH (SSR 2014), PT 2, 6 42-47; 10.5729/asbs.vol6.42 2 2014

Book Series:
Advances in Social and Behavioral Sciences

Language:
Chinese

Document Type:
Proceedings Paper

Conference Title:
2nd International Conference on Social Sciences Research (SSR 2014)

Conference Date:
DEC 10-11, 2014

Conference Location:
Hong Kong, PEOPLES R CHINA

Conference Sponsors:
Singapore Management & Sports Sci Inst, Informat Engn Res Inst

Author Keywords:
Agricultural insurance, Bibliometric approach, Research hotspots, Research fronts, CiteSpace

Abstract:
Retrieving all the 446 literature documents on the topic of
"Agricultural Insurance" in the Web of Science (WOS) database from 1938
to 2010 as the object of study. Firstly, using the "Analyze Results" of
WOS, the time, country and institution distribution characteristics were
analyzed; Secondly, by use of Cite Space knowledge visualization
software to draw a total of citation network map, the six research
hotspots were identified by analyzing the high frequency keywords.

Addresses:
[Li, Chunjie; Zeng, Yuzhen] Tianjin Agr Univ, Sch Econ & Management, Tianjin, Peoples R China.

E-mail Addresses:
tjauli at 163.com; zyz286 at 163.com

Cited Reference Count:
13

Times Cited:
0

Publisher:
SINGAPORE MANAGEMENT & SPORTS SCIENCE INST PTE LTD, 8 TEMASEK BOULEVARD # 34-03 SUNTEC TOWER THREE, SINGAPORE, 038988, SINGAPORE

ISSN:
2339-5133

ISBN:
978-981-09-1682-4

Web of Science Categories:
Economics; Education & Educational Research; Social Sciences, Interdisciplinary

Research Areas:
Business & Economics; Education & Educational Research; Social Sciences - Other Topics

IDS Number:
BC9JK

Unique ID:
WOS:000356465900007

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Title:
Empirical Patterns in Google Scholar *Citation* Counts

Authors:
Breuer, PT; Bowen, JP

Author Full Names:
Breuer, Peter T.; Bowen, Jonathan P.

Book Group Author(s):
IEEE

Source:
2014 IEEE 8TH INTERNATIONAL SYMPOSIUM ON SERVICE ORIENTED SYSTEM ENGINEERING (SOSE), 398-403; 10.1109/SOSE.2014.55 2014

Language:
English

Document Type:
Proceedings Paper

Conference Title:
8th IEEE International Symposium on Service Oriented System Engineering (SOSE)

Conference Date:
APR 07-11, 2014

Conference Location:
Oxford, ENGLAND

Conference Sponsors:
IEEE, IEEE Comp Soc

Author Keywords:
citations, empirical patterns, scholarly publications

Abstract:
Scholarly impact is sometimes crudely gauged using the total number of
an author's citations as a stand-in for 'impact', the author's
hypothetical influence on other researchers, but the average citation
numbers per author vary greatly between disciplines. The detail of the
number of citations per publication is nowadays mapped in much more
detail on the Web, exposing certain empirical patterns within an
author's own publication record. This paper explores those patterns,
using the citation data from Google Scholar for a number of authors.

Addresses:
[Breuer, Peter T.] Univ Birmimgham, Dept Comp Sci, Birmingham, W Midlands, England.
[Bowen, Jonathan P.] Birmingham City Univ, Sch Comp Telecommun & Networking, Birmingham, W Midlands, England.

E-mail Addresses:
ptb at cs.bham.ac.uk; jonathan.bowen at bcu.ac.uk

Cited Reference Count:
13

Times Cited:
0

Publisher:
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA

ISBN:
978-1-4799-3616-8

Web of Science Categories:
Computer Science, Information Systems

Research Areas:
Computer Science

IDS Number:
BC8UZ

Unique ID:
WOS:000356137500054

Cited References:
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
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Bowen J. P., 2011, 17th International Symposium on Formal Methods (FM 2011), V6664, P308
Bowen J. P., 2013, Theories of Programming and Formal Methods, V8051, P54

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Title:
Defining and identifying Sleeping Beauties in science

Authors:
Ke, Q; Ferrara, E; Radicchi, F; Flammini, A

Author Full Names:
Ke, Qing; Ferrara, Emilio; Radicchi, Filippo; Flammini, Alessandro

Source:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 112 (24):7426-7431; 10.1073/pnas.1424329112 JUN 16 2015

Language:
English

Document Type:
Article

Author Keywords:
delayed recognition, Sleeping Beauty, bibliometrics

KeyWords Plus:
JOURNAL IMPACT FACTOR; DELAYED RECOGNITION; CITATION NETWORKS; SCIENTIFIC IMPACT; COMPLEX NETWORKS; COLLABORATION; DISTRIBUTIONS; PUBLICATION; ADVANTAGE; EVOLUTION

Abstract:
A Sleeping Beauty (SB) in science refers to a paper whose importance is
not recognized for several years after publication. Its citation history
exhibits a long hibernation period followed by a sudden spike of
popularity. Previous studies suggest a relative scarcity of SBs. The
reliability of this conclusion is, however, heavily dependent on
identification methods based on arbitrary threshold parameters for
sleeping time and number of citations, applied to small or
monodisciplinary bibliographic datasets. Here we present a systematic,
large-scale, and multidisciplinary analysis of the SB phenomenon in
science. We introduce a parameter-free measure that quantifies the
extent to which a specific paper can be considered an SB. We apply our
method to 22 million scientific papers published in all disciplines of
natural and social sciences over a time span longer than a century. Our
results reveal that the SB phenomenon is not exceptional. There is a
continuous spectrum of delayed recognition where both the hibernation
period and the awakening intensity are taken into account. Although many
cases of SBs can be identified by looking at monodisciplinary
bibliographic data, the SB phenomenon becomes much more apparent with
the analysis of multidisciplinary datasets, where we can observe many
examples of papers achieving delayed yet exceptional importance in
disciplines different from those where they were originally published.
Our analysis emphasizes a complex feature of citation dynamics that so
far has received little attention, and also provides empirical evidence
against the use of short-term citation metrics in the quantification of
scientific impact.

Addresses:
[Ke, Qing; Ferrara, Emilio; Radicchi, Filippo; Flammini, Alessandro] Indiana Univ, Sch Informat & Comp, Ctr Complex Networks & Syst Res, Bloomington, IN 47408 USA.

E-mail Addresses:
aflammin at indiana.edu

Funding Acknowledgement:
National Science Foundation [SMA-1446078]

Funding Text:
We thank Claudio Castellano, Filippo Menczer, Yong-Yeol Ahn, Cassidy Sugimoto, and Chaoqun Ni for insightful discussions, and the American Physical Society for making the APS dataset publicly available. This work is partially supported by National Science Foundation (Grant SMA-1446078).

Cited Reference Count:
57

Times Cited:
0

Publisher:
NATL ACAD SCIENCES, 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA

ISSN:
0027-8424

Web of Science Categories:
Multidisciplinary Sciences

Research Areas:
Science & Technology - Other Topics

IDS Number:
CK5GS

Unique ID:
WOS:000356251800039

PubMed ID:
26015563

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Title:
Research groups: How big should they be?

Authors:
Cook, I; Grange, S; Eyre-Walker, A

Author Full Names:
Cook, Isabelle; Grange, Sam; Eyre-Walker, Adam

Source:
PEERJ, 3 10.7717/peerj.989 JUN 9 2015

Language:
English

Document Type:
Article

Author Keywords:
Research group, Impact factor, Citations, Productivity

KeyWords Plus:
LABORATORY GROUP-SIZE; PUBLICATION-RATE; UNIVERSITY

Abstract:
Understanding the relationship between scientific productivity and
research group size is important for deciding how science should be
funded. We have investigated the relationship between these variables in
the life sciences in the United Kingdom using data from 398 principle
investigators (PIs). We show that three measures of productivity, the
number of publications, the impact factor of the journals in which
papers are published and the number of citations, are all positively
correlated to group size, although they all show a pattern of
diminishing returns-doubling group size leads to less than a doubling in
productivity. The relationships for the impact factor and the number of
citations are extremely weak. Our analyses suggest that an increase in
productivity will be achieved by funding more PIs with small research
groups, unless the cost of employing post-docs and PhD students is less
than 20% the cost of a PI. We also provide evidence that post-docs are
more productive than PhD students both in terms of the number of papers
they produce and where those papers are published.

Addresses:
[Cook, Isabelle; Grange, Sam; Eyre-Walker, Adam] Univ Sussex, Sch Life Sci, Brighton, E Sussex, England.

E-mail Addresses:
a.c.eyre-walker at sussex.ac.uk

Cited Reference Count:
15

Times Cited:
0

Publisher:
PEERJ INC, 341-345 OLD ST, THIRD FLR, LONDON, EC1V 9LL, ENGLAND

ISSN:
2167-8359

Article Number:
e989

Web of Science Categories:
Multidisciplinary Sciences

Research Areas:
Science & Technology - Other Topics

IDS Number:
CK6PM

Unique ID:
WOS:000356350000005

PubMed ID:
26082872

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Title:
A Descriptive and Historical Review of Bibliometrics with Applications to Medical Sciences

Authors:
Thompson, DF; Walker, CK

Author Full Names:
Thompson, Dennis F.; Walker, Cheri K.

Source:
PHARMACOTHERAPY, 35 (6):551-559; 10.1002/phar.1586 JUN 2015

Language:
English

Document Type:
Article

Author Keywords:
bibliometrics, history, laws, application, pharmacy, medicine, publications

KeyWords Plus:
PRACTICE FACULTY MEMBERS; CITATION ANALYSIS; GOOGLE SCHOLAR; PUBLICATIONS; ARTICLES; INDEX; PERSPECTIVE; WEBOMETRICS; INDICATOR; COLLEGES

Abstract:
The discipline of bibliometrics involves the application of mathematical
and statistical methods to scholarly publications. The first attempts at
systematic data collection were provided by Alfred Lotka and Samuel
Bradford, who subsequently established the foundational laws of
bibliometrics. Eugene Garfield ushered in the modern era of
bibliometrics with the routine use of citation analysis and systematized
processing. Key elements of bibliometric analysis include database
coverage, consistency and accuracy of the data, data fields, search
options, and analysis and use of metrics. A number of bibliometric
applications are currently being used in medical science and health
care. Bibliometric parameters and indexes may be increasingly used by
grant funding sources as measures of research success. Universities may
build benchmarking standards from bibliometric data to determine
academic achievement through promotion and tenure guidelines in the
future. This article reviews the history, definition, laws, and elements
of bibliometric principles and provides examples of bibliometric
applications to the broader health care community. To accomplish this,
the Medline (1966-2014) and Web of Science (1945-2014) databases were
searched to identify relevant articles; select articles were also
cross-referenced. Articles selected were those that provided background,
history, descriptive analysis, and application of bibliometric
principles and metrics to medical science and health care. No attempt
was made to cover all areas exhaustively; rather, key articles were
chosen that illustrate bibliometric concepts and enhance the reader's
knowledge. It is important that faculty and researchers understand the
limitations and appropriate uses of bibliometric data. Bibliometrics has
considerable potential as a research area for health care scientists and
practitioners that can be used to discover new information about
academic trends, pharmacotherapy, disease, and broader health sciences
trends.

Addresses:
[Thompson, Dennis F.] Southwestern Oklahoma State Univ, Coll Pharm, Weatherford, OK 73096 USA.
[Walker, Cheri K.] Southwestern Oklahoma State Univ, Coll Pharm, Dept Pharm Practice, Weatherford, OK 73096 USA.

E-mail Addresses:
dennis.thompson at swosu.edu

Cited Reference Count:
48

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
0277-0008

eISSN:
1875-9114

Web of Science Categories:
Pharmacology & Pharmacy

Research Areas:
Pharmacology & Pharmacy

IDS Number:
CL0DZ

Unique ID:
WOS:000356610700005

PubMed ID:
25940769

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Title:
Simulating Innovation: Computer-Based Tools for Rethinking Innovation

Authors:
Watts, C; Gilbert, N

Author Full Names:
Watts, C; Gilbert, N

Source:
SIMULATING INNOVATION: COMPUTER-BASED TOOLS FOR RETHINKING INNOVATION, 1-291; 10.4337/9781783472536 2014

Language:
English

Document Type:
Book

KeyWords Plus:
NATURAL SELF-ORGANIZATION; FOREST-FIRE MODEL; SOCIAL NETWORKS; INCREASING RETURNS; COMPLEX NETWORKS; INFORMATIONAL CASCADES; CUMULATIVE ADVANTAGE; TECHNOLOGICAL-CHANGE; MULTIPLE NETWORKS; GENERAL-THEORY

Cited Reference Count:
405

Times Cited:
0

Publisher:
EDWARD ELGAR PUBLISHING LTD, GLENSANDA HOUSE, MONTPELLIER PARADE, CHELTENHAM GL50 1UA, GLOS, ENGLAND

ISBN:
978-1-78347-253-6; 978-1-84980-160-7

Web of Science Categories:
Economics; Psychology, Applied

Research Areas:
Business & Economics; Psychology

IDS Number:
BA3FY

Unique ID:
WOS:000334208800010

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Title:
Empirical Patterns in Google Scholar Citation Counts

Authors:
Breuer, PT; Bowen, JP

Author Full Names:
Breuer, Peter T.; Bowen, Jonathan P.

Book Group Author(s):
IEEE

Source:
2014 IEEE 8TH INTERNATIONAL SYMPOSIUM ON SERVICE ORIENTED SYSTEM ENGINEERING (SOSE), 398-403; 10.1109/SOSE.2014.55 2014

Language:
English

Document Type:
Proceedings Paper

Conference Title:
8th IEEE International Symposium on Service Oriented System Engineering (SOSE)

Conference Date:
APR 07-11, 2014

Conference Location:
Oxford, ENGLAND

Conference Sponsors:
IEEE, IEEE Comp Soc

Author Keywords:
citations, empirical patterns, scholarly publications

Abstract:
Scholarly impact is sometimes crudely gauged using the total number of
an author's citations as a stand-in for 'impact', the author's
hypothetical influence on other researchers, but the average citation
numbers per author vary greatly between disciplines. The detail of the
number of citations per publication is nowadays mapped in much more
detail on the Web, exposing certain empirical patterns within an
author's own publication record. This paper explores those patterns,
using the citation data from Google Scholar for a number of authors.

Addresses:
[Breuer, Peter T.] Univ Birmimgham, Dept Comp Sci, Birmingham, W Midlands, England.
[Bowen, Jonathan P.] Birmingham City Univ, Sch Comp Telecommun & Networking, Birmingham, W Midlands, England.

E-mail Addresses:
ptb at cs.bham.ac.uk; jonathan.bowen at bcu.ac.uk

Cited Reference Count:
13

Times Cited:
0

Publisher:
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA

ISBN:
978-1-4799-3616-8

Web of Science Categories:
Computer Science, Information Systems

Research Areas:
Computer Science

IDS Number:
BC8UZ

Unique ID:
WOS:000356137500054

Cited References:
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
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Johnston David W., 2013, SCIENTOMETRICS, V95, P1023
Kreibich C., 2013, scholar.py - a parser for Google Scholar, written in Python,
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Bowen J. P., 2013, Theories of Programming and Formal Methods, V8051, P54

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Title:
The double-edged sword of industry collaboration: Evidence from engineering academics in the UK

Authors:
Banal-Estanol, A; Jofre-Bonet, M; Lawson, C

Author Full Names:
Banal-Estanol, Albert; Jofre-Bonet, Mireia; Lawson, Cornelia

Source:
RESEARCH POLICY, 44 (6):1160-1175; 10.1016/j.respol.2015.02.006 JUL 2015

Language:
English

Document Type:
Article

Author Keywords:
Industry-science links, Research collaboration, Basic vs. applied research

KeyWords Plus:
RESEARCH-AND-DEVELOPMENT; SCIENTIFIC PRODUCTIVITY; RESEARCH OUTPUT; PUBLIC RESEARCH; UNIVERSITY; SCIENCE; IMPACT; FIRMS; PERFORMANCE; INNOVATION

Abstract:
This paper studies the impact of university-industry collaboration on
academic research output. We analyze the channels through which the
degree of industry collaboration may be affecting research output. We
exploit a unique longitudinal dataset on all the researchers in all the
engineering departments of 40 major universities in the UK for the last
20 years. We use an innovative measure of collaboration based on the
fraction of public research grants that include industry partners. Our
empirical findings corroborate that the relationship between
collaboration degree and publication rates is curvilinear, and shed some
light on the selection mechanisms at work. Our results are robust to
several econometric methods, measures of research output, and subsamples
of academics. (C) 2015 Elsevier B.V. All rights reserved.

Addresses:
[Banal-Estanol, Albert; Jofre-Bonet, Mireia] City Univ London, Dept Econ, London EC1V 0HB, England.
[Banal-Estanol, Albert] Univ Pompeu Fabra, Dept Econ & Business, Barcelona 08005, Spain.
[Lawson, Cornelia] Coll Carlo Alberto, BRICK, I-10024 Turin, Italy.
[Lawson, Cornelia] Univ Nottingham, Sch Sociol & Social Policy, Nottingham NG7 2RD, England.

E-mail Addresses:
albert.banalestanol at upf.edu; mireia.jofre-bonet at city.ac.uk; cornelia.lawson at nottingham.ac.uk

Funding Acknowledgement:
Pump priming fund at City University; ESRC [RES-000-22-2806]; Ministerio de Ciencia y Tecnologia [ECO2010-15052, ECO2013-43011-P]; European Commission [266588]; Collegio Carlo Alberto grant

Funding Text:
We thank the editor, Ashish Arora, and two anonymous referees for their constructive feedback. We also thank Michael Ben-Gad Ines Macho-Stadler, Alistair McGuire, Gabriel Montes-Rojas, Markus Perkmann, Dan Peled, Jo Seldeslachts, Anna Torres, seminar participants at City University London, Sheffield, Munich, Ingenio-CSIC (Valencia), DRUID conference (Copenhagen), JEI (Reus), ASSET conference (Istanbul) and MOVE workshop on R&D and Technology Transfer (Barcelona) for helpful comments, and the EPSRC, the NSF and the EPO for providing the data. We thank Kamil Dabrowski and Xenia Radu for their excellent research assistance. The research benefited from a Pump priming fund at City University and the ESRC research grant RES-000-22-2806. Albert Banal-Estanol acknowledges financial support from the Ministerio de Ciencia y Tecnologia (ECO2010-15052, ECO2013-43011-P and Ramon y Cajal), and Cornelia Lawson support from the European Commission (FP7 #266588 and DIME Doctoral Mobility Fel!
 lowship) and a Collegio Carlo Alberto grant. An earlier version of this paper was circulated under the title "The Impact of Industry Collaboration on Research: Evidence from Engineering Academics in the UK".

Cited Reference Count:
65

Times Cited:
0

Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS

ISSN:
0048-7333

eISSN:
1873-7625

Web of Science Categories:
Management; Planning & Development

Research Areas:
Business & Economics; Public Administration

IDS Number:
CK3PI

Unique ID:
WOS:000356127600002

Cited References:
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*Order Full Text [ ]

Title:
Psychometric Studies of Scientific Talent and Eminence

Authors:
Feist, GJ

Author Full Names:
Feist, Gregory J.

Edited by:
Simonton DK

Source:
WILEY HANDBOOK OF GENIUS, 62-86; 2014

Language:
English

Document Type:
Article; Book Chapter

KeyWords Plus:
VOCATIONAL INTERESTS; INDIVIDUAL-DIFFERENCES; RESEARCH PRODUCTIVITY; COGNITIVE-ABILITIES; SPATIAL ABILITY; SELF-REGULATION; MIDDLE SCHOOL; PERSONALITY; CREATIVITY; SCIENCE

Addresses:
[Feist, Gregory J.] Coll William & Mary, Williamsburg, VA 23187 USA.
[Feist, Gregory J.] Univ Calif Davis, Davis, CA 95616 USA.

Cited Reference Count:
186

Times Cited:
1

Publisher:
BLACKWELL SCIENCE PUBL, OSNEY MEAD, OXFORD OX2 0EL, ENGLAND

ISBN:
978-1-118-36735-3; 978-1-118-36740-7

Book DOI:
10.1002/9781118367377

Web of Science Categories:
Psychology, Multidisciplinary

Research Areas:
Psychology

IDS Number:
BC7FO

Unique ID:
WOS:000354810600005

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*View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000354810600021
*Order Full Text [ ]

Title:
Age and Scientific Genius

Authors:
Jones, BF; Reedy, EJ; Weinberg, BA

Author Full Names:
Jones, Benjamin F.; Reedy, E. J.; Weinberg, Bruce A.

Edited by:
Simonton DK

Source:
WILEY HANDBOOK OF GENIUS, 422-450; 2014

Language:
English

Document Type:
Article; Book Chapter

KeyWords Plus:
LIFE-CYCLE; RESEARCH PRODUCTIVITY; ACADEMIC SCIENTISTS; YOUNG SCIENTISTS; MODERN-ART; MODEL; ACHIEVEMENT; CREATIVITY; PSYCHOLOGY; LANDMARKS

Addresses:
[Jones, Benjamin F.] Northwestern Univ, Kellogg Sch Management, Evanston, IL 60208 USA.
[Jones, Benjamin F.] Northwestern Univ, Kellogg Innovat & Entrepreneurship Initiat, Evanston, IL 60208 USA.
[Jones, Benjamin F.] Northwestern Univ, Natl Bur Econ Res, Evanston, IL 60208 USA.
[Reedy, E. J.] Northwestern Univ, Managerial Econ, Evanston, IL 60208 USA.
[Reedy, E. J.] Kauffman Fdn, Kansas City, KS USA.
[Reedy, E. J.] Fed Reserve Bank Kansas City, Kansas City, KS USA.
[Reedy, E. J.] Natl Sci Fdn, Arlington, VA 22230 USA.
[Weinberg, Bruce A.] Ohio State Univ, Econ, Columbus, OH 43210 USA.
[Weinberg, Bruce A.] Natl Bur Econ Res, Bonn, Germany.
[Weinberg, Bruce A.] Inst Study Labor, Bonn, Germany.

Cited Reference Count:
64

Times Cited:
1

Publisher:
BLACKWELL SCIENCE PUBL, OSNEY MEAD, OXFORD OX2 0EL, ENGLAND

ISBN:
978-1-118-36735-3; 978-1-118-36740-7

Book DOI:
10.1002/9781118367377

Web of Science Categories:
Psychology, Multidisciplinary

Research Areas:
Psychology

IDS Number:
BC7FO

Unique ID:
WOS:000354810600021

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Title:
Simulating Innovation: Computer-Based Tools for Rethinking Innovation

Authors:
Watts, C; Gilbert, N

Author Full Names:
Watts, C; Gilbert, N

Source:
SIMULATING INNOVATION: COMPUTER-BASED TOOLS FOR RETHINKING INNOVATION, 1-291; 10.4337/9781783472536 2014

Language:
English

Document Type:
Book

KeyWords Plus:
NATURAL SELF-ORGANIZATION; FOREST-FIRE MODEL; SOCIAL NETWORKS; INCREASING RETURNS; COMPLEX NETWORKS; INFORMATIONAL CASCADES; CUMULATIVE ADVANTAGE; TECHNOLOGICAL-CHANGE; MULTIPLE NETWORKS; GENERAL-THEORY

Cited Reference Count:
405

Times Cited:
0

Publisher:
EDWARD ELGAR PUBLISHING LTD, GLENSANDA HOUSE, MONTPELLIER PARADE, CHELTENHAM GL50 1UA, GLOS, ENGLAND

ISBN:
978-1-78347-253-6; 978-1-84980-160-7

Web of Science Categories:
Economics; Psychology, Applied

Research Areas:
Business & Economics; Psychology

IDS Number:
BA3FY

Unique ID:
WOS:000334208800010

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