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A Citation-Based Analysis and Review of Significant Papers on Timing and Time Perception

Overview of attention for article published in Frontiers in Neuroscience, July 2016
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  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Title
A Citation-Based Analysis and Review of Significant Papers on Timing and Time Perception
Published in
Frontiers in Neuroscience, July 2016
DOI 10.3389/fnins.2016.00330
Pubmed ID
Authors

Sundeep Teki

Abstract

Time is an important dimension of brain function, but little is yet known about the underlying cognitive principles and neurobiological mechanisms. The field of timing and time perception has witnessed tremendous growth and multidisciplinary interest in the recent years with the advent of modern neuroimaging and neurophysiological approaches. In this article, I used a data mining approach to analyze the timing literature published by a select group of researchers (n = 202) during the period 2000-2015 and highlight important reviews as well as empirical articles that meet the criterion of a minimum of 100 citations. The qualifying articles (n = 150) are listed in a table along with key details such as number of citations, names of authors, year and journal of publication as well as a short summary of the findings of each study. The results of such a data-driven approach to literature review not only serve as a useful resource to any researcher interested in timing, but also provides a means to evaluate key papers that have significantly influenced the field and summarize recent progress and popular research trends in the field. Additionally, such analyses provides food for thought about future scientific directions and raises important questions about improving organizational structures to boost open science and progress in the field. I discuss exciting avenues for future research that have the potential to significantly advance our understanding of the neurobiology of timing, and propose the establishment of a new society, the Timing Research Forum, to promote open science and collaborative work within the highly diverse and multidisciplinary community of researchers in the field of timing and time perception.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
China 1 <1%
Japan 1 <1%
United States 1 <1%
Poland 1 <1%
Unknown 130 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 17%
Student > Bachelor 22 16%
Student > Master 16 12%
Researcher 14 10%
Student > Doctoral Student 13 9%
Other 30 22%
Unknown 19 14%
Readers by discipline Count As %
Psychology 55 40%
Neuroscience 22 16%
Agricultural and Biological Sciences 7 5%
Medicine and Dentistry 7 5%
Social Sciences 6 4%
Other 19 14%
Unknown 22 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 26 January 2022.
All research outputs
#6,930,354
of 25,377,790 outputs
Outputs from Frontiers in Neuroscience
#4,490
of 11,541 outputs
Outputs of similar age
#108,643
of 372,251 outputs
Outputs of similar age from Frontiers in Neuroscience
#67
of 161 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 11,541 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 60% of its peers.
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 372,251 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 161 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 57% of its contemporaries.