How often do you encounter misleading abstracts in your field of expertise?

Answer Explanations

• Occasionally

  user-753537
  Depending on the definition of misleading; abstracts are short and can never contain all nuances from the study, often abstracts are a bit misleading in only presenting big findings, hiding other null findings or inconsistencies that only become apparent when reading the full text. 
• Very frequently

  user-259663
  Many poorly written manuscripts and projects, with translation errors and interpretation errors, conclusions not supported by data, and a lot of unfounded speculation.
• Occasionally

  user-548373
  Sometimes, the abstract doesn't highlight key findings and you don't know what to expect from the paper so you read it entirely looking for information.
• Rarely

  user-683654
  As mentioned above, I usually believe the abstracts I read.
• Rarely

  user-504085
  This was my first experience, and occurred some 40 years ago
• Rarely

  user-205824
   analyzing academic writing across a wide range of fields, it seems that misleading abstracts occur rarely in reputable, peer-reviewed journals, but they do happen. In established academic venues, there are rigorous processes in place to ensure accuracy and honesty, reducing the frequency of issues like exaggerated claims or omission of important details. 
• Frequently

  user-606148
  There is a lack of discipline among authors about how strong their claims should be, based on the strength of evidence provided.  Apparently reviewers don't routinely catch this weakness
• Very frequently

  user-937607
  My field is Statistics, but I am referring to the reference of statistical results in abstracts across many research fields.  I think it is more rare to see honest, non-overstated abstracts than overstated and exaggerated conclusions that appear to be justified by statistical analysis.  I think this stems from the sales-mentality in dissemination of research (under pressure of professional incentives) and the authority we seem happy to give over to any results from a statistical model for which most readers do not understand the underlying assumptions.  A lack of space for limitations in abstracts also contributes.
• Rarely

  user-836452
  I have rarely encountered a misleading abstract in my field (toxicology).
• Occasionally

  user-66641
  Sometimes there are fake abtracts 
• Occasionally

  user-530848
  Not everytime
• Occasionally

  user-909355
  In the field of Psychiatry and Psychology.
• Never

  user-69401
  NA
• Frequently

  user-36174
  i use research most offten to use recent evidence as means of evidence based practice and learning so i encounter frequently
• Occasionally

  user-915
  Similar methods are frequently used in the same area of study but with different results that could waist the time of the researcher