↓ Skip to main content

Clinical Epidemiology

Overview of attention for book
Cover of 'Clinical Epidemiology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 On Framing the Research Question and Choosing the Appropriate Research Design
  3. Altmetric Badge
    Chapter 2 Research Ethics for Clinical Researchers
  4. Altmetric Badge
    Chapter 3 Definitions of Bias in Clinical Research
  5. Altmetric Badge
    Chapter 4 Longitudinal Studies 1: Determination of Risk
  6. Altmetric Badge
    Chapter 5 Longitudinal Studies 2: Modeling Data Using Multivariate Analysis
  7. Altmetric Badge
    Chapter 6 Longitudinal Studies 3: Data Modeling Using Standard Regression Models and Extensions
  8. Altmetric Badge
    Chapter 7 Longitudinal Studies 4: Matching Strategies to Evaluate Risk
  9. Altmetric Badge
    Chapter 8 Longitudinal Studies 5: Development of Risk Prediction Models for Patients with Chronic Disease
  10. Altmetric Badge
    Chapter 9 Randomized Controlled Trials 1: Design
  11. Altmetric Badge
    Chapter 10 Randomized controlled trials 2: analysis.
  12. Altmetric Badge
    Chapter 11 Randomized Controlled Trials 3: Measurement and Analysis of Patient-Reported Outcomes
  13. Altmetric Badge
    Chapter 12 Randomized Controlled Trials 4: Biomarkers and Surrogate Outcomes
  14. Altmetric Badge
    Chapter 13 Randomized Controlled Trials 5: Determining the Sample Size and Power for Clinical Trials and Cohort Studies
  15. Altmetric Badge
    Chapter 14 Randomized Controlled Trials 6: On Contamination and Estimating the Actual Treatment Effect
  16. Altmetric Badge
    Chapter 15 Randomized Controlled Trials 7: Analysis and Interpretation of Quality-of-Life Scores
  17. Altmetric Badge
    Chapter 16 Randomized Controlled Trials: Planning, Monitoring, and Execution
  18. Altmetric Badge
    Chapter 17 Evaluation of Diagnostic Tests
  19. Altmetric Badge
    Chapter 18 Qualitative Research in Clinical Epidemiology
  20. Altmetric Badge
    Chapter 19 Clinical Epidemiology
  21. Altmetric Badge
    Chapter 20 Clinical Genetic Research 1: Bias
  22. Altmetric Badge
    Chapter 21 Clinical Genetic Research 2: Genetic Epidemiology of Complex Phenotypes
  23. Altmetric Badge
    Chapter 22 Clinical Genetic Research 3: Genetics ELSI (Ethical, Legal, and Social Issues) Research
  24. Altmetric Badge
    Chapter 23 Evidence-based decision-making 1: critical appraisal.
  25. Altmetric Badge
    Chapter 24 Evidence-Based Decision-Making 2: Systematic Reviews and Meta-analysis.
  26. Altmetric Badge
    Chapter 25 Evidence-Based Decision-Making 3: Health Technology Assessment
  27. Altmetric Badge
    Chapter 26 Evidence-Based Decision-Making 4: Development and Limitations of Clinical Practice Guidelines
  28. Altmetric Badge
    Chapter 27 Evidence-Based Decision-Making 5: Translational Research
  29. Altmetric Badge
    Chapter 28 Evidence-Based Decision-Making 6: Utilization of Administrative Databases for Health Services Research
  30. Altmetric Badge
    Chapter 29 Clinical Epidemiology
  31. Altmetric Badge
    Chapter 30 Evidence-Based Decision-Making 8: Health Policy, a Primer for Researchers
Attention for Chapter 24: Evidence-Based Decision-Making 2: Systematic Reviews and Meta-analysis.
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
50 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Evidence-Based Decision-Making 2: Systematic Reviews and Meta-analysis.
Chapter number 24
Book title
Clinical Epidemiology
Published in
Methods in molecular biology, February 2015
DOI 10.1007/978-1-4939-2428-8_24
Pubmed ID
Book ISBNs
978-1-4939-2427-1, 978-1-4939-2428-8
Authors

Bello A, Wiebe N, Garg A, Tonelli M, Aminu Bello, Natasha Wiebe, Amit Garg, Marcello Tonelli, Bello, Aminu, Wiebe, Natasha, Garg, Amit, Tonelli, Marcello

Abstract

The number of studies published in the biomedical literature has dramatically increased over the last few decades. This massive proliferation of literature makes clinical medicine increasingly complex, and information from multiple studies is often needed to inform a particular clinical decision. However, available studies often vary in their design, methodological quality, populations studied and may define the research question of interest quite differently, which can make it challenging to synthesize their conclusions. In addition, since even highly cited trials may be challenged over time, clinical decision-making requires ongoing reconciliation of studies which provide different answers to the same question. Because it is often impractical for readers to track down and review all the primary studies, systematic reviews and meta-analyses are an important source of evidence on the diagnosis, prognosis, and treatment of any given disease. This chapter summarizes methods for conducting and reading systematic reviews and meta-analyses, as well as describing potential advantages and disadvantages of these publications.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 22%
Librarian 5 10%
Student > Bachelor 5 10%
Researcher 5 10%
Other 3 6%
Other 8 16%
Unknown 13 26%
Readers by discipline Count As %
Medicine and Dentistry 8 16%
Nursing and Health Professions 7 14%
Psychology 4 8%
Social Sciences 4 8%
Agricultural and Biological Sciences 2 4%
Other 9 18%
Unknown 16 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 November 2015.
All research outputs
#15,325,004
of 22,792,160 outputs
Outputs from Methods in molecular biology
#5,326
of 13,110 outputs
Outputs of similar age
#150,796
of 254,708 outputs
Outputs of similar age from Methods in molecular biology
#22
of 84 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,110 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 254,708 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.