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

Thu Aug 15 10:29:05 EDT 2013

Hi, 

I agree with Judit about trying to review six by 9/1 given the end of summer and beginning of semester deadlines and related activities. I think three would be manageable. The ranks could still be averaged. Any t ies could be resolved through group consensus. 

Dietmar 

----- Original Message -----

From: "Judit Bar-Ilan" <barilaj at mail.biu.ac.il> 
To: sigmet-officers at asis.org 
Sent: Wednesday, August 14, 2013 11:46:24 PM 
Subject: Re: [Sigmet-officers] Sigmet-officers Digest, Vol 29, Issue 1 

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 Mohammadi 1 and Mike Thelwall 2 
1 e.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) 

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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 > 

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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 

________________________________ 

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End of Sigmet-officers Digest, Vol 29, Issue 1 
********************************************** 

-- 

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 
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