How We See Area and Why It Matters
Trends in Cognitive Sciences, ISSN: 1364-6613, Vol: 25, Issue: 7, Page: 554-557
2021
- 10Citations
- 15Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations10
- Citation Indexes10
- 10
- CrossRef7
- Captures15
- Readers15
- 15
Article Description
A large and growing literature examines how we see the visual quantities of number, area, and density. The literature rests on an untested assumption: that our perception of area is veridical. Here, we discuss a systematic distortion of perceived area and its implications for quantity perception more broadly.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1364661321000929; http://dx.doi.org/10.1016/j.tics.2021.03.017; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85105282961&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/33958280; https://linkinghub.elsevier.com/retrieve/pii/S1364661321000929; https://dx.doi.org/10.1016/j.tics.2021.03.017
Elsevier BV
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