Title: Trends in Ecology & Evolution
Full Journal Title: Trends in Ecology & Evolution
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: Impact Factor
Statzner, B., Resh, V.H. and Kobzina, N.G. (1995), Low impact factors of ecology journals: Don’t worry. Trends in Ecology & Evolution, 10 (5), 220.
Full Text: T\Tre Eco Evo10, 220.pdf
Metcalfe, N.B. (1995), Serious bias in journal impact factors. Trends in Ecology & Evolution, 10 (11), 461.
Full Text: T\Tre Eco Evo10, 461.pdf
Notes: highly cited
? Finegan, B. (1996), Pattern and process in neotropical secondary rain forests: The first 100 years of succession. Trends in Ecology & Evolution, 11 (3), 119-124.
Full Text: 1996\Tre Eco Evo10, 119.pdf
Abstract: More and more areas of deforested wet tropical lands are being handed back to nature as their erstwhile owners abandon attempts to farm them. The resulting secondary successions offer hope that some of the unique characteristics of the original rain forests may be recovered and conserved. However, most of our understanding of what secondary tropical rain forests are and how and why they develop is limited to the first decade of a process that may last for centuries. A longer-term view indicates that the causes of change in neotropical secondary successions are similar to those operating in temperate forests, but yields sobering conclusions for conservation.
Keywords: Tropical Forest, Pioneer Tree, Costa-Rica, Dynamics, Growth, Recruitment, Management, Amazonia, Colombia
Kokko, H. and Sutherland, W.J. (1999), What do impact factors tell us? Trends in Ecology & Evolution, 14 (10), 382-384.
Full Text: T\Tre Eco Evo14, 382.pdf
? Kelly, C.D. and Jennions, M.D. (2006), The h index and career assessment by numbers. Trends in Ecology & Evolution, 21 (4), 167-170.
Full Text: 2006\Tre Eco Evo21, 167.pdf
Abstract: Growing demand to quantify the research output from public funding has tempted funding agencies, promotion committees and employers to treat numerical indices of research output more seriously. So many assessment exercises are now conducted worldwide that traditional peer assessment is threatened. Here, we describe a new citation-based index (Hirsh’s h index) and examine several factors that might influence it for ecologists and evolutionary biologists, such as gender, country of residence, subdiscipline and total publication output. We suggest that h is not obviously superior to other indices that rely on citations and publication counts to assess research performance.
Keywords: Assessment, Citations, Country, Demand, Gender, h Index, h-Index, Promotion, Publication, Publication Counts, Research, Research Performance
? Purvis, A. (2006), The h index: playing the numbers game. Trends in Ecology & Evolution, 21 (8), 422.
Full Text: 2006\Tre Eco Evo21, 422.pdf
Keywords: h Index, h-Index
? Engqvist, L. and Frommen, J.G. (2008), The h-index and self-citations. Trends in Ecology & Evolution, 23 (5), 250-252.
Full Text: 2008\Tre Eco Evo23, 250.pdf
Keywords: h Index, h-Index, Numbers, Self-Citations
Title: Trends in Parasitology
Full Journal Title: Trends in Parasitology
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? Falagas, M.E. and Panos, G. (2007), Implications of findings of bibliometric analyses in parasitology. Trends in Parasitology, 23 (1), 12-13.
Full Text: 2007\Tre Par23, 12.pdf
Keywords: Bibliometric, Disease, Health, Parasitology, Tropical-Medicine
? White, N.J., Turner, G.D.H., Medana, I.M., Dondorp, A.M. and Day, N.P.J. (2010), The murine cerebral malaria phenomenon. Trends in Parasitology, 26 (1), 11-15.
Full Text: 2010\Tre Par26, 11.pdf
Title: Trends in Pharmacological Sciences
Full Journal Title: Trends in Pharmacological Sciences
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? (1996), Top TiPS articles. Trends in Pharmacological Sciences, 17 (4), 123.
Keywords: Articles
Title: Trials
Full Journal Title: Trials
ISO Abbreviated Title: Trials
JCR Abbreviated Title: Trials
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: Impact Factor
? Haykowsky, M., Scott, J., Esch, B., Schopflocher, D., Myers, J., Paterson, I., Warburton, D., Jones, L. and Clark, A.M. (2011), A meta-analysis of the effects of exercise training on left ventricular remodeling following myocardial infarction: Start early and go longer for greatest exercise benefits on remodeling. Trials, 12, Article Number: 92.
Full Text: 2011\Trials12, 92.pdf
Abstract: Background: The effects of variations in exercise training on Left ventricular (LV) remodeling in patients shortly after Myocardial Infarction (MI) are important but poorly understood. Methods: Systematic review incorporating meta-analysis using meta-regression. Studies were identified via systematic searches of: OVID MEDLINE (1950 to 2009), Cochrane Central Register of Controlled Trials (1991 to 2009), AMED (1985 to 2009), EMBASE (1988 to 2009), PUBMED (1966 to 2009), SPORT DISCUS (1975 to 2009), SCOPUS (1950 to 2009) and Web of Science (1950 to 2009) using the medical subject headings: myocardial infarction, post myocardial infarction, post infarction, heart attack, ventricular remodeling, ventricular volumes, ejection fraction, left ventricular function, exercise, exercise therapy, kinesiotherapy, exercise training. Reference lists of all identified studies were also manually searched for further relevant studies. Studies selected were randomized controlled trials of exercise training interventions reporting ejection fraction (EF) and/or ventricular volumes in patients following recent MI (<= 3 months) post-MI patients involving control groups. Studies were excluded if they were not randomized, did not have a ‘usual-care’ control (involving no exercise), evaluated a non-exercise intervention, or did not involve human subjects. Non-English studies were also excluded. Results: After screening of 1029 trials, trials were identified that reported EF (12 trials, n = 647), End Systolic Volumes (ESV) (9 trials, n = 475) and End Diastolic Volumes (EDV) (10 trials, n = 512). Meta-regression identified that changes in EF effect size difference decreased as the time between MI and initiation of the exercise program lengthened, and increased as the duration of the program increased (Q = 25.48, df = 2, p < 0.01, R(2) = 0.76). Greater reductions in ESV and EDV (as indicated by effect size decreases) occurred with earlier initiation of exercise training and with longer training durations (ESV: Q = 23.89, df = 2, p < 0.05, R(2) = 0.79; EDV: Q = 27.42, df = 2, p < 0.01, R(2) = 0.83). Differences remained following sensitivity analysis. Each week that exercise was delayed required an additional month of training to achieve the same level of benefit on LV remodeling. Conclusions: Exercise training has beneficial effects on LV remodeling in clinically stable post-MI patients with greatest benefits occurring when training starts earlier following MI (from one week) and lasts longer than 3 months.
Keywords: Analysis, Cardiac Rehabilitation, Cochrane, Control, Control Groups, Coronary-Artery-Disease, Dysfunction, Embase, Exercise, Exercise Therapy, Human, Improvement, Intervention, Interventions, Medical, Medline, Meta Analysis, Meta-Analysis, Methods, Myocardial Infarction, Of-Science, Patients, Prevention, Randomized Clinical-Trials, Randomized Controlled Trials, Review, Science, Scopus, Screening, Sensitivity, Sport, Survival, Systematic, Systematic Review, Therapy, Training, Web, Web-of-Science
? Savard, L.A., Thompson, D.R. and Clark, A.M. (2011), A meta-review of evidence on heart failure disease management programs: the challenges of describing and synthesizing evidence on complex interventions. Trials, 12, Article Number: 194.
Full Text: 2011\Trials12, 194.pdf
Abstract: Background: Despite favourable results from past meta-analyses, some recent large trials have not found Heart Failure (HF) disease management programs to be beneficial. To explore reasons for this, we evaluated evidence from existing meta-analyses. Methods: Systematic review incorporating meta-review was used. We selected meta-analyses of randomized controlled trials published after 1995 in English that examined the effects of HF disease management programs on key outcomes. Databases searched: MEDLINE, EMBASE, Cochrane Database of Systematic Reviews (CDSR), DARE, NHS EED, NHS HTA, Ageline, AMED, Scopus, Web of Science and CINAHL; cited references, experts and existing reviews were also searched. Results: 15 meta-analyses were identified containing a mean of 18.5 randomized trials of HF interventions +/- 10.1 (range: 6 to 36). Overall quality of the meta-analyses was very mixed (Mean AMSTAR Score = 6.4 +/- 1.9; range 2-9). Reporting inadequacies were widespread around populations, intervention components, settings and characteristics, comparison, and comparator groups. Heterogeneity (statistical, clinical, and methodological) was not taken into account sufficiently when drawing conclusions from pooled analyses. Conclusions: Meta-analyses of heart failure disease management programs have promising findings but often fail to report key characteristics of populations, interventions, and comparisons. Existing reviews are of mixed quality and do not adequately take account of program complexity and heterogeneity.
Keywords: Admission, Care, Clinical-Outcomes, Cochrane, Database, Databases, Disease, Disease Management, Embase, Heterogeneity, Intervention, Interventions, Management, Medline, Metaanalysis, Methods, Older Patients, Outcomes, Randomized Controlled Trials, Randomized Controlled-Trials, Readmission, Review, Science, Scopus, Statement, Statistical, Systematic, Systematic Review, Systematic Reviews, Web of Science
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