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trial registration. N Engl J Med. 2005; 352:198-9. 8. Reveiz L, Cortes-Jofre M, Asenjo Lobos C, Nicita G, Ciapponi A, Garcia-Dieguez M, et al. Influence of trial registration on reporting quality of randomized trials: Study from highest ranked journals. J Clin Epidemiol. 2010; 63:1216-22. 9. Hopewell S, Altman DG, Moher D, Schulz KF. Endorsement of the CONSORT Statement by high impact factor medical journals: a survey of journal editors and journal ‘Instructions to Authors’. Trials. 2008; 9:20. 10. World Medical Association. WMA Declaration of Helsinki - Ethical

1 Introduction In 1978 the special paper presenting a new bibliometric indicator called “discipline impact factor” (DIF) was published ( Hirst, 1978 ). A few months earlier Hirst and Talent (1977) published the results of the study that had been performed with the use of this indicator. As Hirst (1978) stated, “the discipline impact factor (DIF) is similar to the impact factor <…>, which measures the average number of times a paper in a given journal is cited, except that the DIF measures the number of times a paper in a journal is cited in the core

Journal Impact Factor. Journal of the American Medical Association 295(1): 90–93. Głowacka B. 2000. Inne działalności Instytutu Badawczego Leśnictwa – działalność wydawnicza, w: Rozwój i osiągnięcia Instytutu Badawczego Leśnictwa w latach 1930–2000, Część 1 (red. B. Głowacka, S. Dunikowski). Wydawnictwo Instytutu Badawczego Leśnictwa, Warszawa, 152–157. González-Pereira B., Guerrero-Bote V.P., Moya-Anegón F. 2010. A new approach to the metric of journals scientific prestige: the SJR indicator. Journal of Informetrics 4(3): 379–391. DOI 10.1016/j.joi.2010.03.002. 10

1 Introduction While attempting to evaluate the academic impact of scientific journals, the journal impact factor (JIF) has become the most commonly used measure for journals. Over the last several decades, the interest in this metric and its role in research evaluation has progressively increased within the academic community and beyond. The aim of the first studies on the quality of scientific journals was about how to filter the most important and influential periodicals in the given scientific field to purchase for the libraries of particularly small American

64 Chapter Four Impact Factor Alternatives Journal Impact Factor: To Be or Not To Be? Journal Impact Factor (JIF), which is a ratio between the current year citation and recent citable items published in the journal over the previous two years (Clarivate Analytics), is useful in the measurement of the visibility of a journal, in helping librarians’ carry out their duties of journal subscription decision (Garfield, 1955; 2006), and in helping readers to make choices of articles to read among the large volume of published articles in a field and

Abstract

A modified system of nonlinear fractional-order differential equations become used to classify humans of various personalities and different Impact Factors of Memory (IFM); with unique set of model parameters. The model was used to interpret and predict the functions of the union of various people with external circumstance(s) and adapted to neighborhood environment in which the statistics collections were achieved to analyze numerous measures affecting marriages, unique challenges in marriage and associated occasions were investigated through the use of questionnaire. Data had been analyzed and the outcomes have been carried out as parameters to validate the model. Adams Predictor-Corrector Method was used to test the chaoticity of the system and it was confirmed via numerical simulations.

Numerical simulation outcomes had been presented to reveal the effectiveness of the model and the accuracy of the statements established. The mathematical information implied by the model unveil an underlying mechanism which can give an explanation for couple disruption in relationships that were initially deliberated to remain all the time. Despite the terrible aspects of relationships, some human beings were still satisfied in their intimate members of the family. The study was addressed on a field survey (use of questionnaires) and with the aid of interrogating the members one on one. A feasible path for future work is the choice to attain balance through modelling and to validate the results with the aid of numerical simulations.

References Abbas, A.M. (2012) “Bounds and inequalities relating h-index, g-index, e-index and generalized impact factor: An improvement over existing models”, PLoS (Public Library of Science) One, 7 (4): 1-7. Abrizah, A., A.N. Zainab, K. Kiran and R.G. Raj (2013) “LIS journals scientific impact and subject categorization: A comparison between Web of Science and Scopus”, Scientometrics, 94 (2): 721-740. Adriaanse, L.S. and C. Rensleigh (2013) “Web of Science, Scopus and Google Scholar: A content comprehensiveness comparison”, The Electronic Library, 31 (6): 727

Abstract

The aim of this study is to gather sufficient evidence and arguments in order to prove to society that during the process of change in thinking and especially in the effective practical implementation of such educational models, high levels of efficiency can be achieved at all hierarchical levels in key systems for the society and the state.

Abstract

Background

The focus of the present study was to reveal any impact factors for perioperative morbidity and mortality as well as repercussion of perioperative morbidity on long-term survival in pancreatic head resection.

Patients and methods

In a retrospective study, clinic-pathological factors of 240 patients after pancreatic head (PD) or total resection were analyzed for correlations with morbidity, 30- and 90-day mortality, and long-term survival. According to Clavien–Dindo classification, all complications with grade II and more were defined as overall complications (OAC). OAC, all surgical (ASC), general (AGC) and some specific types of complications like leaks from the pancreatoenteric anastomosis (PEA) or pancreatic fistula (PF, type A, B and C), leaks from other anastomoses (OL), bleeding (BC) and abscesses (AA) were studied for correlation with clinic-pathological factors.

Results

In the 9-year period, altogether 240 patients had pancreatic resection. The incidence of OAC was 37.1%, ASC 29.2% and AGC 15.8%. ASC presented themselves as PL, OL, BC and AA in 19% (of 208 PD), 5.8%, 5.8%, and 2.5% respectively. Age, ASA score, amylase on drains, and pancreatic fistulas B and C correlated significantly with different types of complications. Overall 30- and 90-day mortalities were 5 and 7.9% and decreased to 3.5 and 5% in P2.

Conclusions

High amylase on drains and higher mean age were independent indicators of morbidity, whereas PL and BC revealed as independent predictor for 30-day mortality, and physical status, OAC and PF C for 90-day mortality.