Introduction Project goal was to develop simple way to characterize level of access to journal literature in physical sciences and engineering provided.

Slides:



Advertisements
Similar presentations
Quality control tools
Advertisements

Integrating Academic Skills Development in a First Semester Chemistry Unit Technology Enhanced Curriculum | Sydney Teaching Colloquium | 2012 ASSOCIATE.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Lecture Slides Elementary Statistics Eleventh Edition and the Triola.
Introduction Goal of this work is to better understand Guelph’s 2007 LibQUAL+ comments (in aggregate), within the context of the quantitative findings.
Section 2-3 Histograms. Key Concept We use a visual tool called a histogram to analyze the shape of the distribution of the data.
Statistical Analysis with Excel
Y.Pancheshnikov, ACRL, 2003 Course-Centered Collection Evaluation in the Agricultural Sciences for University Instructional Program Reviews Yelena Pancheshnikov.
Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc. Chap 3-1 Business Statistics: A Decision-Making Approach 7 th Edition Chapter.
Ch. 2: The Art of Presenting Data Data in raw form are usually not easy to use for decision making. Some type of organization is needed Table and Graph.
Journal Citation Reports on the Web. Copyright 2006 Thomson Corporation 2 Introduction JCR distills citation trend data for 7,600+ journals from more.
B a c kn e x t h o m e Classification of Variables Discrete Numerical Variable A variable that produces a response that comes from a counting process.
Ka-fu Wong © 2003 Chap 2-1 Dr. Ka-fu Wong ECON1003 Analysis of Economic Data.
Introduction to Excel 2007 Part 3: Bar Graphs and Histograms Psych 209.
Descriptive Statistics  Summarizing, Simplifying  Useful for comprehending data, and thus making meaningful interpretations, particularly in medium to.
Journal Impact Factors and H index
Comparisons across normal distributions Z -Scores.
Descriptive Statistics
2.1: Frequency Distributions and Their Graphs. Is a table that shows classes or intervals of data entries with a count of the number of entries in each.
Frequency Distributions and Their Graphs
Tutorial 5: Working with Excel Tables, PivotTables, and PivotCharts
N-gram Topic Models for Bibliometric Analysis Gideon Mann, David Mimno, and Andrew McCallum Can topic models provide better measurements of the impact.
1 Statistical Analysis - Graphical Techniques Dr. Jerrell T. Stracener, SAE Fellow Leadership in Engineering EMIS 7370/5370 STAT 5340 : PROBABILITY AND.
Biostatistics Unit 3 - Graphs.
Chapter 2 Summarizing and Graphing Data
SESSION 11 & 12 Last Update 3 rd March 2011 Introduction to Statistics.
STAT02 - Descriptive statistics (cont.) 1 Descriptive statistics (cont.) Lecturer: Smilen Dimitrov Applied statistics for testing and evaluation – MED4.
Discovery layers and the distance student Online search habits of students Rosie Croft, University Librarian Jessica Mussell, Instruction & Public Services.
SCIENTIFIC SOLUTIONS Journal Citation Reports ® New Features of Version 4.0.
Basic Business Statistics Chapter 2:Presenting Data in Tables and Charts Assoc. Prof. Dr. Mustafa Yüzükırmızı.
Querying Structured Text in an XML Database By Xuemei Luo.
Where Should I Publish? Journal Ranking Tools eigenfactor.org SCImago is a freely available web resource available at This uses.
The ISI Web of Knowledge nce/training/wok/#tab3.
Probabilistic and Statistical Techniques 1 Lecture 3 Eng. Ismail Zakaria El Daour 2010.
Presentation Of Data. Data Presentation All business decisions are based on evaluation of some data All business decisions are based on evaluation of.
Chapter 2 – Descriptive Statistics
XP. Objectives Sort data and filter data Summarize an Excel table Insert subtotals into a range of data Outline buttons to show or hide details Create.
2.1 Frequency Distribution and Their Graphs NOTES Coach Bridges.
Copyright © Cengage Learning. All rights reserved. 2 Descriptive Analysis and Presentation of Single-Variable Data.
Applied Quantitative Analysis and Practices
User Needs Assessment to Support Collection Management Decisions Steve Hiller University of Washington Libraries For ALCTS-CMDS.
Sect. 2-1 Frequency Distributions and Their graphs Objective SWBAT construct a frequency distribution including limits,boundaries, midpoints, relative.
Basic Business Statistics, 11e © 2009 Prentice-Hall, Inc. Chap 2-1 Chapter 2 Presenting Data in Tables and Charts Basic Business Statistics 11 th Edition.
EDUC 866: RESEARCH WORKSHOP Holly Hendrigan Education Liaison Librarian, SFU Surrey September 2014.
D OES PLAYING SPORTS AFFECT SCHOOL MARKS ? Arun Jha and Sagar Badve Year 10 Perth Modern School.
Stat 101Dr SaMeH1 Statistics (Stat 101) Associate Professor of Environmental Eng. Civil Engineering Department Engineering College Almajma’ah University.
MOHR'S CIRCLE The formulas developed in the preceding article may be used for any case of plane stress. A visual interpretation of them, devised by the.
1 Statistical Analysis - Graphical Techniques Dr. Jerrell T. Stracener, SAE Fellow Leadership in Engineering EMIS 7370/5370 STAT 5340 : PROBABILITY AND.
THE BIBLIOMETRIC INDICATORS. BIBLIOMETRIC INDICATORS COMPARING ‘LIKE TO LIKE’ Productivity And Impact Productivity And Impact Normalization Top Performance.
Statistical Analysis with Excel © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.
Cell Diameters and Normal Distribution. Frequency Distributions a frequency distribution is an arrangement of the values that one or more variables take.
Statistics Descriptive Statistics. Statistics Introduction Descriptive Statistics Collections, organizations, summary and presentation of data Inferential.
Chapter 2 Summarizing and Graphing Data
Demonstrating Scholarly Impact: Metrics, Tools and Trends
You will need your calculator today (and every day from now on)
Martin Rajman, Martin Vesely
Bibliometric Analysis of Water Research
Quality Tools - 9/18/2018 Quality Tools -
Statistical Analysis with Excel
Advanced Scientometrics Workshop
Simple Steps to Completing a Literature Review
Edexcel: Large Data Set Activities
Statistical Analysis with Excel
You will need your calculator today (and every day from now on)
Quality Tools - 2/19/2019 Quality Tools -
Descriptive Statistics
Descriptive Statistics
Lesson – Teacher Notes Standard:
Organizing, Displaying and Interpreting Data
Descriptive Statistics
Introduction to Excel 2007 Part 3: Bar Graphs and Histograms
Presentation transcript:

Introduction Project goal was to develop simple way to characterize level of access to journal literature in physical sciences and engineering provided by a research library. Journal Citation Reports (JCR), a database common in North American university libraries, was selected for this work. Data from the JCR for 2003 and 2008 was analyzed then compared to the University of Guelph Library’s (UGL) holdings to assess the level of access offered. Methodology and results should be of interest to those engaged in outreach to faculty and graduate students. Methodology Selected the subject headings in the JCR database that covered the primary research and teaching areas at Guelph for one of the sample disciplines; chemistry, engineering, mathematics and statistics, or physics. Downloaded data in the JCR database for all journals assigned to at least one of the subject headings selected in the previous step, for given year; e.g Imported the downloaded data into Excel to form a subject list of journals. Checked for duplicate entries. Ranked list of journals on basis of total number of citations received in given year, in descending order. Journal with most citations was assigned rank of 1. Established minimum threshold of citation activity for a journal to be included in the study. Threshold was set low enough (i.e. enough journals were included) that a proper assessment of access provided to the literature in that discipline could be made. Determined whether access to current issues of the selected journals was available through the UGL or if it required document delivery. Investigated stability of the results of this method of analysis over time by determining distribution of changes in journal rankings between 2003 and Compared journals selected for analysis for 2003, in each of the four disciplines, to raw list of journals in the corresponding discipline for 2008; each list having been ranked by total number of citations received, in descending order. Matched each journal from 2003 list to one of the same name on 2008 list, if possible. When all journals from 2003 list had been considered all journals from either list that remained unmatched were removed. Calculated net change in ranking from 2003 to 2008 for a matched pair of journals using the formula: Net change = – [rank(2008) – rank(2003)] Results (continued) number of chemistry journals (2003) considered. UGL catalogue was searched to determine if current subscription (2003) held. Cumulative frequency data indicates distribution with rank (normalized) of journals (2003) for which current subscription not held; e.g. about 33% of journals with no subscription have rank (normalized) less than 0.5. Figures 2 and 3 show change in rank from 2003 to 2008 for chemistry journals, in raw and normalized form. Data on math and stats journals is also shown. To normalize a data set chose a maximum bin limit (symmetric) that included all but about 3% of the data. Constructed histogram using 21 equally-spaced bins of width = 2 * (max. bin limit) / 21. Chemistry had maximum bin limits of +/- 165 ; math / stats had +/-85. UGL holdings data for chemistry, presented in tabular form, portrays Library’s holdings in terms of journal list drawn from JCR database, sorted in descending order by total number of citations. “Total citations (most)” is total number of citations for chemistry journal of rank 1. “Total citations (lower limit)” is the “threshold” value mentioned previously. Discussion / Conclusions JCR database has greater credibility as source for list of “important” journals in a science or engineering area due to prominence of journal impact factors. Chose to rank journals by total citations (not impact factor) since focus is on general access to literature. Should consider backfile access for completeness. Can customize a list of “important” journals to increase its relevance to faculty, graduate students, and others. For each discipline studied, normalized total citation – rank data suggests a small group of highly-cited journals and much-larger group of less-cited ones. In current study, changes in journal rank, from 2003 to 2008 didn’t have marked impact on apparent level of access provided. Normalized change in rank behavior was quite similar for all disciplines studied. Number of journals reviewed in disciplines covered was more than adequate to characterize access. Charts with primary and secondary vertical axes, e.g. Figure 1, can be easily constructed using Excel Studies like current one can provide good basis for discussions with users on quality of library holdings, interpretation of LibQUAL survey results, and support for open access initiatives. Alan Gale and Linda Day University of Guelph Library, Guelph, Ontario, CANADA Questions or comments welcome: Alan Gale / Linda Day / Results Disciplines selected for analysis were chemistry, engineering, physics, and mathematics and statistics. Data for chemistry is used to illustrate the general findings. Figure 1 shows data for chemistry (2003). Total citations (normalized) data (open and solid triangles) is plotted using the left-hand axis while cumulative frequency data (solid diamonds) uses the right-hand one. Assessing access to the journal literature using the Journal Citation Reports database. Cumulative frequency Total citations (normalized) Figure 1. Total citations and unsubscribed chemistry journals (2003) by rank (normalized) Figure 3. Relative frequency as function of normalized change in rank (2003 – 2008) Figure 2. Relative frequency as function of change in rank (2003 – 2008) Rank (normalized) Change in rank Change in rank (normalized) (expressed as bin number) Relative frequency (%) Relative frequency (%) Total citations data for chemistry (2003) was normalized by dividing the total citation count for each of the journals by the average total citation count for all of the chemistry journals (2003) considered. Rank data for chemistry (2003) was normalized by dividing the rank for each of the journals by the total UGL chem holdings (2003)As % Avail. online (top 50) 100 %50 Avail. online (top 100) 100 %100 Avail. online (top 200) 99 %198 Journals examined (all) 100 %457 Avail. online (all) 78 %357 Avail. in paper only 1 %6 Avail. via Doc Del 21 %94 Total citations (most) 212,938 Total citations (lower limit) 550 UGL chem holdings (2008)As % Avail. online (top 50) 100 %50 Avail. online (top 100) 99 %99 Avail. online (top 200) 97 %193 Journals examined (all) 100 %472 Avail. online (all) 88 %417 Avail. in paper only 0 %0 Avail. via Doc Del 12 %55 Total citations (most) 318,252 Total citations (lower limit) 981