[Sigmet-officers] Sigmet-officers Digest, Vol 29, Issue 1

Judit Bar-Ilan barilaj at mail.biu.ac.il
Thu Aug 15 00:46:24 EDT 2013


Dear All,

I am willing to review papers, but won't be able to do six by September 1.
Two or three are reasonable.
Btw, the Mendeley submission seems to be identical to a paper presented at
the ISSI conference in Vienna in July. Are we OK with that? Here's the
abstract of that paper:

ASSESSING THE MENDELEY READERSHIP OF

SOCIAL SCIENCES AND HUMANITIES

RESEARCH

Ehsan Mohammadi1 and Mike Thelwall2
*

1e.mohammadi at wlv.ac.uk
*

Statistical Cybermetrics Research Group, School of Technology, University of

Wolverhampton, Wulfruna Street, Wolverhampton WV1 1LY, UK.
*

2 m.thelwall at wlv.ac.uk
*

Statistical Cybermetrics Research Group, School of Technology, University of

Wolverhampton, Wulfruna Street, Wolverhampton WV1 1LY, UK.
*

Abstract
*

There is some evidence that counting the readers of an article in the
social reference site,

Mendeley, may help to capture the research impact of the article, but the
extent to which

this is true for different scientific fields is unknown. This study
compares Mendeley

readership counts with citation counts for different social sciences and
humanities

disciplines. Mendeley usage data is also used as a novel way to discover
patterns of

information flow between scientific subjects. The overall correlation
between Mendeley

readership counts and citations for the social sciences was higher than for
the humanities.

Low and medium correlations between Mendeley readership and citation counts
in all the

investigated disciplines suggest that these measures reflect different
aspects of research

impact. The information flow findings indicate that most users of social
sciences and

humanities papers are from within the same discipline but some less obvious
relationships

between scientific disciplines were also discovered. Thus, Mendeley
readership can

complement citation metrics in many disciplines to help measure broader
research impact

and to uncover relationships between scholarly disciplines from the
reader’s perspective.



Regards,

Judit



On Thu, Aug 15, 2013 at 12:32 AM, sigmet-officers-request at asis.org <
sigmet-officers-request at asis.org> wrote:

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> Today's Topics:
>
>    1. Student Paper Contest- need reviewers and a plan
>       (Powell, Kimberly Robin)
>    2. Student Paper Abstracts (Powell, Kimberly Robin)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Wed, 14 Aug 2013 21:26:37 +0000
> From: "Powell, Kimberly Robin" <krpowel at emory.edu>
> To: "sigmet-officers at mail.asis.org" <sigmet-officers at mail.asis.org>
> Subject: [Sigmet-officers] Student Paper Contest- need reviewers and a
>         plan
> Message-ID:
>         <
> 6F3D5FCC9D154641BCC0FA412A03258E552CC5BE at e14mbx15n.Enterprise.emory.net>
>
> Content-Type: text/plain; charset="us-ascii"
>
> Hi All,
> The SIGMET Student Paper Contest submission window is now closed.  We've
> received 6 papers that need to be reviewed and ranked.  I think ideally
> there would be a small group willing to look at all six.  And then rank
> with a score from 1-6... 1 being the top pick.  We can then average the
> scores across as many complete reviewers and declare the lowest average the
> winner.  Or does reviewing all six seem too much?  It also sounded like we
> wanted to keep the review process amongst the officers.  So... whose
> willing to be a reviewer?
>
> I'm including a list of the submitted titles under review.
>
>
>
>
>
>
>
>
>
>
>
> *         Accessing Government Statistical Information
>
> *         A Review of Randomized Controlled Trials (RCTs) that Examines
> Internet Based Smoking Reduction/Cessation Programs
>
>
>
>
>
>
> *         Mendeley readership altmetrics for the social sciences and
> humanities: Research evaluation and knowledge flows
>
>
>
>
>
>
> *         Multiple h index: A new Scientometric Indicator
>
>
>
>
>
>
> *         Cognitive Distance and Peer Review: a study of a grant scheme in
> Infection Biology
>
>
>
>
>
>
> *         Modelling Article Citation Impact Factors Using an Integrated
> Statistical Method
>
>
> Please let me know if anyone has any additional thoughts.  Ideally we can
> pick a winner by the week of September 1st in order to allow as much time
> as possible for the student to make travel and/or visa arrangements.
> Thanks!
> ~Kim
>
> -----
> Kimberly R Powell, MIS
> Life Sciences Informationist
> Woodruff Health Sciences Center Library<health.library.emory.edu>
> 1462 Clifton Road, NE
> Atlanta GA 30322
> (404) 727-3961
>
>
> ________________________________
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> Message: 2
> Date: Wed, 14 Aug 2013 21:31:49 +0000
> From: "Powell, Kimberly Robin" <krpowel at emory.edu>
> To: "sigmet-officers at mail.asis.org" <sigmet-officers at mail.asis.org>
> Subject: [Sigmet-officers] Student Paper Abstracts
> Message-ID:
>         <
> 6F3D5FCC9D154641BCC0FA412A03258E552CD5CC at e14mbx15n.Enterprise.emory.net>
>
> Content-Type: text/plain; charset="us-ascii"
>
>
> Okay, found were the submission system put the abstracts.  See below...
> ~Kim
>
>
>
> Accessing Government Statistical Information
>
>
>
>
>
> As a governmental data resource, statistical information is an important
> and valued source of information. The United States Federal Government is
> the biggest supplier of statistical information in the country. Federal
> Government agencies produce statistics in the course of research, program
> management, making projections and through administration functions; these
> are used by government agencies and the general public. This research essay
> will cover the background of government statistics, accessing the most
> valuable resources for this information and how important of a resource and
> skill this is. This will mostly include open source resources but will also
> cover certain subscription databases.
>
>
>
> A Review of Randomized Controlled Trials (RCTs) that Examines Internet
> Based Smoking Reduction/Cessation Programs
>
> Consumer Health Informatics (CHI) includes the development and
> implementation of Internet based systems to deliver health risk management
> information, and health intervention applications to the public. The
> application of CHI to educational and interventional efforts for smoking
> reduction/cessation has recently garnered attention from both consumers and
> health researchers. Scientists believe that smoking avoidance or cessation
> before age 30 can prevent over 90% of smoking related cancers, and that
> individuals that stop smoking can prevent cancer as well as those that
> never start. Approaches to reducing smoking related cancer deaths include
> encouraging current smokers to stop and preventing people from developing
> this dangerous habit.
> This paper reviews Randomized Controlled Trials (RCTs) centered on
> Internet based smoking reduction/cessation interventions. A search of the
> University of North Texas EBSCO Host databases, PubMed, the Cochrane
> Library, and EMBASE identified 10 RCTs that summarized the outcomes of 14
> Internet based smoking reduction/cessation programs (2006 - 2011). These
> studies demonstrated that Internet based smoking reduction/cessation
> programs are promising tools in the effort to reduce smoking/improve public
> health. Several programs effectively reduced smoking, and Internet based
> programs reach many people at low cost. An important area of future
> research is the identification of Internet based smoking
> reduction/cessation interventions that meet the needs of smokers with
> different personalities, motivations for quitting, social, and economic
> circumstances.
>
> Mendeley readership altmetrics for the social sciences and humanities:
> Research evaluation and knowledge flows
> Although there is evidence that counting the readers of an article in the
> social reference site, Mendeley, may help
> to capture its research impact, the extent to which this is true for
> different scientific fields is unknown. This study
> compares Mendeley readership counts with citations for different social
> sciences and humanities disciplines. The
> overall correlation between Mendeley readership counts and citations for
> the social sciences was higher than for
> the humanities. Low and medium correlations between Mendeley bookmarks and
> citation counts in all the
> investigated disciplines suggest that these measures reflect different
> aspects of research impact. Mendeley data
> was also used to discover patterns of information flow between scientific
> fields. Comparing information flows
> based on Mendeley bookmarking data and cross disciplinary citation
> analysis for the disciplines revealed
> substantial similarities and some differences. Thus, the evidence from
> this study suggests that Mendeley
> readership data could be used to help capture knowledge transfer across
> scientific disciplines, especially for
> people that read but do not author articles, as well as giving impact
> evidence at an earlier stage than is possible
> with citation counts.
>
>
> Multiple h index: A new Scientometric Indicator
>
> This study aimed to evaluate some of these indexes by using virtual data
> and propose a new index, named multiple h index, for removing the limits of
> these variants. Citation report for 40 researchers in Babol, Iran was
> extracted from Web of Science (WoS) and entered in a checklist together
> with their scientific lifetimes and published ages of their papers. Some
> statistical analyses, especially exploratory factor analysis and structural
> correlations were done in SPSS 19. Exploratory factor analysis revealed 3
> factors with eigenvalues greater than 1 and explained variance over 96% in
> the studied indexes including multiple h index. Factors 1, 2 and 3
> explained 44.38%, 28.19%, and 23.48% of variance in correlation coefficient
> matrix. M index (with coefficient of 90%) in factor 1, a index (with
> coefficient of 91%) in factor 2, and h and h2 indexes (with coefficients of
> 93%) in factor 3 had the highest factor loadings. Correlation coefficients
> and related comparative diagrams show!
>  ed that multiple h index is more accurate than the other 9 variants in
> differentiating the scientific impact of researchers with the same h index.
> As the studied variants could not satisfied all limits of h index,
> scientific society needs an index which accurately evaluates individual
> researchers' scientific output. As multiple h index has some advantages
> over the other studied variants, it can be an appropriate alternative for
> them.
>
> Cognitive Distance and Peer Review: a study of a grant scheme in Infection
> Biology
> The aim of this paper is to discuss a methodology for measuring the
> cognitive distance between applicants and referees. Researchers' knowledge
> based cited papers and research contents are used to represent their
> scientific cognitions. Using two different methodologies: 1) author
> bibliographic coupling analysis and 2) author topic analysis, we apply
> these methods on a recent competition for grants from the Swedish Strategic
> Foundation (SSF). The agency used a two stage approach: in the first
> selection stage there were 57 main applicants with 136 co-applicants. For
> this stage there were 14 referees with a diversity of backgrounds, mostly
> Swedish but both university and industry, 11 of these had more than 10
> publications during the period 2004-2011. In the second round, 28
> applications were considered. At this stage 19 new international
> (non-Swedish) referees were taken into action (it is not known whether they
> were assembled from abroad or if they had a face-to-face meeting). !
>  Five out of the referees in the second round did not have any papers or
> very few papers <10 papers). The procedure resulted in a selection of nine
> proposals, nine teams that passed through the two-stage process with a
> large grant for studies in infection biology, out of which three were
> proposed by female researchers. This reflects the distribution over gender
> among main applicants. Therefore, we put this question aside this time and
> concentrate on other aspects of peer review and grant selection.
>
> Modelling Article Citation Impact Factors Using an Integrated Statistical
> Method
> This study uses an advanced statistical model to simultaneously assess a
> number of factors that may associate with increased citation impact:
> research collaboration; journal and reference impact and internationality;
> author and institutional impact; article size features; and readability of
> abstract in Physical Sciences, Life Sciences, Clinical Medicine and Social
> Sciences. Using a negative binomial-logit hurdle model, the results show
> that individual and international collaborations are significant
> determinants of increased citation counts and decreased zero citations in
> the four fields. Journal and reference impact and internationality also
> significantly associate with increased citations. Among article size
> attributes, title length is not an important factor of citations but other
> attributes associate with increased positive citations and decreased zero
> citations. In the all four models, the author impact is the only
> insignificant factor of citations.
>
> -----
> Kimberly R Powell, MIS
> Life Sciences Informationist
> Woodruff Health Sciences Center Library<health.library.emory.edu>
> 1462 Clifton Road, NE
> Atlanta GA 30322
> (404) 727-3961
>
>
> ________________________________
>
> This e-mail message (including any attachments) is for the sole use of
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> information. If the reader of this message is not the intended
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> or copying of this message (including any attachments) is strictly
> prohibited.
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> End of Sigmet-officers Digest, Vol 29, Issue 1
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-- 
Judit Bar-Ilan
Department of Information Science
Bar-Ilan University, Ramat Gan, 5290002, Israel
Tel: 972-3-5318351 Fax: 972-3-7384027
email: Judit.Bar-Ilan at biu.ac.il <barilaj at mail.biu.ac.il>
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