How Well Do Bibliometric Indicators Correlate With Scientific Eminence? A Comment on Simonton (2016)

2019 ◽  
Vol 15 (1) ◽  
pp. 202-203
Author(s):  
Marco Del Giudice
Keyword(s):  
Recent Literature ◽  
Explanatory Power ◽  
Scientific Productivity ◽  
Original Data ◽  
Regression Coefficients ◽  
H Index ◽  
Psychological Science ◽  
Original Analysis ◽  
Explained Variance ◽  
Bibliometric Index

Citing an earlier study on eminence in psychology, Simonton (2016) argued that associations between measures of scholars’ reputation, scientific productivity, and citation counts are only small to moderate [Simonton, D. K. (2016). Giving credit where credit’s due: Why it’s so hard to do in psychological science. Perspectives on Psychological Science, 11, 888–892]. However, this reading is based on partial regression coefficients, which underestimate the joint explanatory power of correlated variables. A reanalysis of the original data showed that a composite bibliometric index was substantially associated with reputation (β = 0.70; 46% explained variance). Very similar results were obtained with a newly calculated h index (β = 0.67; 42% explained variance). Although both Simonton’s original analysis and the current reanalysis are inherently limited, the data suggest that the reputation of psychologists tracks their scientific contribution more closely than has been acknowledged in the recent literature.

scholarly journals The association between environmental exposures to chlordanes, adiposity and diabetes-related features: a systematic review and meta-analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Vânia Mendes ◽  
Cláudia Ribeiro ◽  
Inês Delgado ◽  
Bárbara Peleteiro ◽  
Martine Aggerbeck ◽  
...  
Keyword(s):  
Fixed Effects ◽  
Meta Analysis ◽  
Scientific Evidence ◽  
Endocrine Disrupting Chemicals ◽  
Correlation Coefficients ◽  
Epidemiological Data ◽  
Original Data ◽  
Regression Coefficients ◽  
Cross Sectional ◽  
Hormonal Function

AbstractChlordane compounds (CHLs) are components of technical chlordane listed in the Stockholm convention on persistent organic pollutants identified as endocrine disrupting chemicals (EDCs) and may interfere with hormone biosynthesis, metabolism or action resulting in an unbalanced hormonal function. There is increasing scientific evidence showing EDCs as risk factors in the pathogenesis and development of obesity and obesity-related metabolic syndromes such as type 2 diabetes, but there is no systematized information on the effect of CHLs in humans. Our aim is to identify the epidemiological data on the association between CHLs with adiposity and diabetes using a systematic approach to identify the available data and summarizing the results through meta-analysis. We searched PubMed and Web of Science from inception up to 15 February 2021, to retrieve original data on the association between chlordanes, and adiposity or diabetes. For adiposity, regression coefficients and Pearson or Spearman correlation coefficients were extracted and converted into standardized regression coefficients. Data were combined using fixed effects meta-analyses to compute summary regression coefficients and corresponding 95% confidence intervals (95% CI). For the association between chlordanes and diabetes, Odds ratios (ORs) were extracted and the DerSimonian and Laird method was used to compute summary estimates and respective 95% CI. For both, adjusted estimates were preferred, whenever available. Among 31 eligible studies, mostly using a cross-sectional approach, the meta-analysis for adiposity was possible only for oxychlordane and transchlordane, none of them were significantly associated with adiposity [(β = 0.04, 95% CI 0.00; 0.07, I2 = 89.7%)] and (β = 0.02, 95% CI − 0.01; 0.06), respectively. For diabetes, the estimates were positive for all compounds but statistically significant for oxychlordane [OR = 1.96 (95% CI 1.19; 3.23)]; for trans-nonachlor [OR = 2.43 (95% CI 1.64; 3.62)] and for heptachlor epoxide [OR = 1.88 (95% CI 1.42; 2.49)]. Our results support that among adults, the odds of having diabetes significantly increase with increasing levels of chlordanes. The data did not allow to reach a clear conclusion regarding the association with adiposity.

scholarly journals Use Of Altmetric And Bibliometric Indicators To Measure Scientific Productivity In The Fields Of Life And Earth Sciences: Case Study From Haiti

2021 ◽  
Vol 17 (21) ◽  
pp. 316
Author(s):  
Jasmine Césars ◽  
Magline Alexis ◽  
Evens Emmanuel
Keyword(s):  
Rank Correlation ◽  
Scientific Productivity ◽  
Quantitative Information ◽  
Google Scholar ◽  
Bibliometric Indicators ◽  
H Index ◽  
Environment And Health ◽  
Normality Test ◽  
Kolmogorov Smirnov ◽  
Number Of Citations

The objective of this study was to carry out, based on certain bibliometric and altimetric indicators, a summary assessment of the scientific productivity of Quisqueya University’s researchers in 3 specific fields: agronomy, the environment and health. An experimental framework was designed and implemented based on the quantitative information available on the academic social network ResearchGate, and on SCOPUS and Google scholar, out of a total of 12,731 citations enumerated for Quisqueya University as of December 31, 2020, 19% were for the environment, 19.3% were for health, 59.9% for agronomy and 1.8% for other sectors. All the sectors recorded a significant increase for the RG score altmetric indicator and for the two bibliometric indicators: number of citations and H-index. The data collected were analyzed using XLSTAT and R software. The Kolmogorov-Smirnov normality test was applied for each of the indicators. Pearson's rank correlation was used to calculate the correlations between the altmetric indicator (RG-Score) from ResearchGate and the bibliometric indicators (citation and H-index) from Google Scholar and Scopus. A significant positive correlation of α = 0.918 was observed between the number of citations on ResearchGate and on Google Scholar. a result in the same direction (α = 0.991) is also observed between the number of citations on ResearchGate and on Scopus. These correlations allow us to conclude that the work of these researchers was cited in publications published in journals referenced in the Web of Science by a rate exceeding 90%.

scholarly journals Game of Tenure: the role of “hidden” citations on researchers’ ranking in Ecology

2019 ◽  
Author(s):  
Ana Benítez-López ◽  
Luca Santini
Keyword(s):  
Original Data ◽  
Publication Rate ◽  
Ecological Data ◽  
H Index ◽  
Track Record ◽  
Model Parameterization ◽  
Weak Evidence ◽  
Number Of Publications ◽  
Number Of Citations

AimField ecologists and macroecologists often compete for the same grants and academic positions, with the former producing original data that the latter generally use for model parameterization. Original data are usually cited only in the supplementary materials thereby not counting formally as citations, creating an unfair system where field ecologists are routinely under-acknowledged and possibly disadvantaged in the race for funding and positions. Here we explore how the performance of authors contributing ecological data would change if all the citations to their work would be accounted for by bibliometric indicators.LocationWorldwideTime period2008-2017Major taxa studiedHomo sapiens academiaeMethods We collected the track record of >2300 authors from Google Scholar and citation data from 600 papers published in 40 ecology journals, including field-based, conservation, general ecology and macroecology studies. Then we parameterize a simulation that mimics the current publishing system for ecologists and assessed author rankings based on number of citations, H-Index, Impact Factor and number of publications under a scenario where supplementary citations count.Results We found weak evidence for field ecologists being lower ranked than macroecologists or general ecologists, with publication rate being the main predictor of author performance. Accounting for supplementary citations in bibliometrics did not substantially change the current ranking dynamics.Main conclusionsCurrent ranking dynamics are largely unaffected by supplementary citations as they are 10 times less than the number of main text citations. This is exacerbated by the common practice of citing datasets assembled by previous papers instead than the original articles. Nonetheless, researcher performance evaluations should include criteria that better capture authors’ contribution of new, publicly available, data. This could encourage field ecologists to collect and store new data in a systematic manner, thereby mitigating the data patchiness and bias in macroecology studies, and further accelerating the advancement of Ecology.

scholarly journals The Scientific Productivity and Academic Output of Elite Iraqi Pediatricians: H-Index Reliability Indicators.

2019 ◽  
pp. 1-5
Keyword(s):  
Web Sites ◽  
Scientific Productivity ◽  
Google Scholar ◽  
Second Step ◽  
H Index ◽  
Reliability Indicators

Abstract Background: The scientific productivity and academic output of elite Iraqi pediatricians as measured by bibliometric parameters has become of increased interest. The aim of this study is to evaluate the scientific productivity and academic output of Iraqi pediatricians who have H-index of 10 or higher. Materials and methods: The first step of this research was to determine the Iraqi pediatricians who have H-index of 10 or more at Google Scholar Citation by examining more than 300 profiles of Iraqi authors on the 16th and 17th of August, 2019. The second step was to study the H-index and scientific productivity and academic output of the authors found at other web sites such as the Scopus and Publons. Results: Initially, three Iraqi pediatricians were found to have H-index of 10 at Google Scholar Citation and no Iraqi pediatrician having H-index of more than 10 was found. However, one of the Iraqi pediatricians “Mahmood Dhahir Al-Mendalawi” received citations for articles not authored by him and his profile contained articles not authored by him. His actual H-index was definitely less than 10 and his Scopus H-index was 3. Therefore, only 2 Iraqi pediatricians who actually have H-index of 10 were found. Aamir Al-Mosawi who also has H-index at Scopus of 8 and at Publons of 6 and Mazin Faisal Al-Jadiry who has H-index at Scopus of 6, but has no profile or H-index at Publons. Conclusion: This is the very first study evaluating the scientific productivity and academic output of elite Iraqi pediatricians. When evaluating the H-index of an author at Google Scholar Citation, it is necessary to check the main articles contributing to the H-index of the author are actually belongs to him or her. A very low Scopus H-index is a good indicator to check the accuracy of citation calculation at Google Scholar Citation.

scholarly journals Which Seed Properties Determine the Preferences of Carabid Beetle Seed Predators?

Insects ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 757
Author(s):  
Foffová Hana ◽  
Ćavar Zeljković Sanja ◽  
Honěk Alois ◽  
Martinková Zdenka ◽  
Tarkowski Petr ◽  
...  
Keyword(s):  
Seed Coat ◽  
Explanatory Power ◽  
Seed Mass ◽  
Carabid Beetles ◽  
Plant Strategy ◽  
Seed Predators ◽  
Lack Of Information ◽  
Complete Set ◽  
Morphological Defence ◽  
Explained Variance

Ground beetles are important invertebrate seed predators in temperate agro-ecosystems. However, there is a lack of information regarding which seed properties are important to carabids when they select seeds for consumption. Therefore, seed properties, such as size, shape, morphological defence, and chemical composition, were measured, and in addition to seed taxonomy and ecology, these data were used to explain carabid preferences. Carabid preferences were assessed using a multi-choice experiment with 28 species of weed seeds presented to 37 species of Carabidae. Multiple regression on distance matrices (MRM) was used to determine the importance of particular sets of seed properties for carabids. The analysis was conducted for the full set of carabids (37 species) as well as for subsets of species belonging to the tribes of Harpalini or Zabrini. For the complete set of species, seed dimensions, seed mass, taxonomy, plant strategy, and seed coat properties significantly explained carabid preferences (proportion of explained variance, R2 = 0.465). The model for Harpalini fit the data comparably well (R2 = 0.477), and seed dimensions, seed mass and seed coat properties were significant. In comparison to that for Harpalini, the model for Zabrini had much lower explanatory power (R2 = 0.248), and the properties that significantly affected the preferences were seed dimensions, seed mass, taxonomy, plant strategy, and seed coat properties. This result suggests that the seed traits that carabids respond to may be specific to taxonomic and likely relate to the degree of specialisation for seeds. This study contributes to understanding the mechanisms that determine the preferences of carabid beetles for seeds.

scholarly journals Gaining Insight by Transforming Between Temporal Representations of Human Interaction

2017 ◽  
Vol 4 (3) ◽  
Author(s):  
Kristine Lund ◽  
Mattieu Quignard ◽  
David Williamson Shaffer
Keyword(s):  
Temporal Distribution ◽  
Original Data ◽  
Human Interaction ◽  
Levels Of Analysis ◽  
Low Level ◽  
Original Analysis ◽  
Audio Data ◽  
Temporal Interaction ◽  
Gaining Insight ◽  
Temporal Representations

Recordings of human interaction data can be organized into temporal representations with different affordances. We use audio data of a learning-related discussion analyzed for its low-level emotional indicators and divided into four phases, each characterized by an overarching emotion. After arguing for the relevance of emotion to learning, we examine this original analysis with the help of three different representations, transforming the data between them in order to connect micro- and macro-levels of analysis and give meaning to these connections. The first is a FRIEZE representation showing the temporal distribution of the low-level indicators of emotion as well as the phases. The second is an epistemic network analysis with an aggregated representation that shows how the pattern of associations among indicators of emotion differs between phases. The third is a transcription of the original data that re-anchors the aggregation back into the temporal interaction, giving it meaning. This is a methods paper, and if the findings are not specifically focused on measuring learning, the data do concern a student narrative of interactions with her teacher. More importantly, the stage is set for giving meaning to micro- and macro-connections in pedagogical contexts, with a view to automated analyses.

Multiple h-index: a new scientometric indicator

2015 ◽  
Vol 33 (3) ◽  
pp. 547-556 ◽  
Author(s):  
Mousa Yaminfirooz ◽  
Hemmat Gholinia
Keyword(s):  
Correlation Coefficients ◽  
Coefficient Matrix ◽  
Scientific Output ◽  
The Other ◽  
Scientometric Indicator ◽  
Scientific Impact ◽  
H Index ◽  
Content Type ◽  
Explained Variance ◽  
Correlation Coefficient Matrix

Purpose – This paper aims to evaluate some of the known scientific indexes by using virtual data and proposes a new index, named multiple h-index (mh-index), for removing the limits of these variants. Design/methodology/approach – Citation report for 40 researchers in Babol, Iran, was extracted from the Web of Science and entered in a checklist together with their scientific lifetimes and published ages of their papers. Some statistical analyses, especially exploratory factor analysis (EFA) and structural correlations, were done in SPSS 19. Findings – EFA revealed three factors with eigenvalues greater than 1 and explained variance of over 96 per cent in the studied indexes, including the mh-index. Factors 1, 2 and 3 explained 44.38, 28.19 and 23.48 of the variance in the correlation coefficient matrix, respectively. The m-index (with coefficient of 90 per cent) in Factor 1, a-index (with coefficient of 91 per cent) in Factor 2 and h- and h2-indexes (with coefficients of 93 per cent) in Factor 3 had the highest factor loadings. Correlation coefficients and related comparative diagrams showed that the mh-index is more accurate than the other nine variants in differentiating the scientific impact of researchers with the same h-index. Originality/value – As the studied variants could not satisfy all limits of the h-index, scientific society needs an index which accurately evaluates individual researcher’s scientific output. As the mh-index has some advantages over the other studied variants, it can be an appropriate alternative for them.

scholarly journals Influence of sex, age and length of service on scientific productivity of medical research institution staff

2021 ◽  
Vol 20 (7) ◽  
pp. 2960
Author(s):  
O. M. Drapkina ◽  
E. A. Poddubskaya ◽  
V. B. Rozanov ◽  
L. G. Gasanova
Keyword(s):  
Medical Research ◽  
Preventive Medicine ◽  
Web Of Science ◽  
Scientific Productivity ◽  
Research Center ◽  
Middle Aged ◽  
Length Of Service ◽  
Academic Degree ◽  
H Index ◽  
National Medical

Aim. To assess the influence of sex, age and length of service on scientific productivity (h-index in the RSCI, Scopus and Web of Science) of researchers of the National Medical Research Center for Therapy and Preventive Medicine.Material and methods. The study sample was formed from the staff of the National Medical Research Center for Therapy and Preventive Medicine and consisted of scientists of various ranks. The study included 147 people (women, 103; men, 44); Information was collected on their age, education, length of service, academic degree, the position held and author-level metrics  — the h-index, obtained from three abstract and citation databases  — RSCI, Scopus and Web of Science. All study participants were divided into groups by sex and age categories — young (≤39 years), middle-aged (men, 40-60 years; women, 40-55 years) and older (men >60 years old; women >55 years).Results. Analysis showed that 70,1% of the research team consists of women; 60%  — young and middle-aged scientists, and 40%  — older people. Among male researchers, compared with women, there are more doctors of science and high h-index values in the RSCI, Scopus and Web of Science. H-index value in the RSCI among male researchers is 47,3% due to the age and work duration at the National Medical Research Center for Therapy and Preventive Medicine, and among female researchers, 42,8% due to academic degree and length of service. The h-index in Scopus in men is influenced by age, in women  — by the presence of an academic degree, which explain, respectively, 19,7 and 18,1% of its variability. H-index value in the Web of Science in men is associated with the work duration, while in women, with an academic degree and length of service, which explain, respectively, 24,4 and 21,1% of its variance.Conclusion. Women and young and middle-aged scientists prevail in research team pattern of the National Medical Research Center for Therapy and Preventive Medicine. However, male researchers make a more significant contribution to scientific productivity, assessed by the h-index in the RSCI, Scopus and Web of Science. Age and length of service have the greatest influence on scientific productivity for male researchers, while for women — presence of academic degree and length of service. It is necessary to continue research on the study of individual, motivational and institutional factors affecting the scientific productivity.

scholarly journals LYING IS A KIND OF DECEPTION / (MENTIRA É UM TIPO DE ENGANAÇÃO)

2018 ◽  
Vol 10 (23) ◽  
pp. 42-55
Author(s):  
Felipe Castelo Branco MEDEIROS (PUCRS)
Keyword(s):  
Speech Acts ◽  
Recent Literature ◽  
Speech Act ◽  
Explanatory Power ◽  
Traditional View ◽  
Necessary Condition ◽  
Traditional Conception ◽  
Definition Of

Under the traditional view of lying, the concept is usually taken to be a deviant speech act with the following characteristics: (1) being insincere and (2) being done with the intention to deceive. On the recent literature, however, (2) has come under attack by a class of counter examples that purport to show that the traditional view has been misguided. In this essay, our objective is twofold, we intend to: (a) present Lackey’s defense of her take on the traditional conception; (b) present a different proposal about how to go about defending (2). This is important because, although we don’t agree with Lackey’s solution, we do agree that (2) is a necessary condition on a successful definition of lying, as evidenced by the fact that taking the deception clause out of [lying] leaves us with an overall loss of explanatory power with regards to a range of speech acts and the general ethics of communicative cooperation.

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