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Using science and psychology to improve the dissemination and evaluation of scientific work

Overview of attention for article published in Frontiers in Computational Neuroscience, August 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#34 of 1,471)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
3 blogs
twitter
46 X users
facebook
2 Facebook pages
wikipedia
1 Wikipedia page
googleplus
2 Google+ users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
99 Mendeley
citeulike
1 CiteULike
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Title
Using science and psychology to improve the dissemination and evaluation of scientific work
Published in
Frontiers in Computational Neuroscience, August 2014
DOI 10.3389/fncom.2014.00082
Pubmed ID
Authors

Brett T. Buttliere

Abstract

Here I outline some of what science can tell us about the problems in psychological publishing and how to best address those problems. First, the motivation behind questionable research practices is examined (the desire to get ahead or, at least, not fall behind). Next, behavior modification strategies are discussed, pointing out that reward works better than punishment. Humans are utility seekers and the implementation of current change initiatives is hindered by high initial buy-in costs and insufficient expected utility. Open science tools interested in improving science should team up, to increase utility while lowering the cost and risk associated with engagement. The best way to realign individual and group motives will probably be to create one, centralized, easy to use, platform, with a profile, a feed of targeted science stories based upon previous system interaction, a sophisticated (public) discussion section, and impact metrics which use the associated data. These measures encourage high quality review and other prosocial activities while inhibiting self-serving behavior. Some advantages of centrally digitizing communications are outlined, including ways the data could be used to improve the peer review process. Most generally, it seems that decisions about change design and implementation should be theory and data driven.

X Demographics

X Demographics

The data shown below were collected from the profiles of 46 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Portugal 1 1%
Germany 1 1%
France 1 1%
Sweden 1 1%
United Kingdom 1 1%
Netherlands 1 1%
Mexico 1 1%
New Zealand 1 1%
Other 2 2%
Unknown 87 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 21%
Student > Ph. D. Student 12 12%
Student > Master 12 12%
Other 7 7%
Student > Doctoral Student 7 7%
Other 21 21%
Unknown 19 19%
Readers by discipline Count As %
Psychology 17 17%
Social Sciences 13 13%
Medicine and Dentistry 9 9%
Agricultural and Biological Sciences 7 7%
Computer Science 7 7%
Other 21 21%
Unknown 25 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 56. 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 23 April 2024.
All research outputs
#771,501
of 25,584,565 outputs
Outputs from Frontiers in Computational Neuroscience
#34
of 1,471 outputs
Outputs of similar age
#7,426
of 247,534 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#2
of 24 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,471 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 97% 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 247,534 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.