↓ Skip to main content

Toward a New Model of Scientific Publishing: Discussion and a Proposal

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2011
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#15 of 1,475)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
6 blogs
twitter
114 X users
googleplus
16 Google+ users
f1000
1 research highlight platform

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
216 Mendeley
citeulike
7 CiteULike
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.
Title
Toward a New Model of Scientific Publishing: Discussion and a Proposal
Published in
Frontiers in Computational Neuroscience, January 2011
DOI 10.3389/fncom.2011.00055
Pubmed ID
Authors

Dwight J. Kravitz, Chris I. Baker

Abstract

The current system of publishing in the biological sciences is notable for its redundancy, inconsistency, sluggishness, and opacity. These problems persist, and grow worse, because the peer review system remains focused on deciding whether or not to publish a paper in a particular journal rather than providing (1) a high-quality evaluation of scientific merit and (2) the information necessary to organize and prioritize the literature. Online access has eliminated the need for journals as distribution channels, so their primary current role is to provide authors with feedback prior to publication and a quick way for other researchers to prioritize the literature based on which journal publishes a paper. However, the feedback provided by reviewers is not focused on scientific merit but on whether to publish in a particular journal, which is generally of little use to authors and an opaque and noisy basis for prioritizing the literature. Further, each submission of a rejected manuscript requires the entire machinery of peer review to creak to life anew. This redundancy incurs delays, inconsistency, and increased burdens on authors, reviewers, and editors. Finally, reviewers have no real incentive to review well or quickly, as their performance is not tracked, let alone rewarded. One of the consistent suggestions for modifying the current peer review system is the introduction of some form of post-publication reception, and the development of a marketplace where the priority of a paper rises and falls based on its reception from the field (see other articles in this special topics). However, the information that accompanies a paper into the marketplace is as important as the marketplace's mechanics. Beyond suggestions concerning the mechanisms of reception, we propose an update to the system of publishing in which publication is guaranteed, but pre-publication peer review still occurs, giving the authors the opportunity to revise their work following a mini pre-reception from the field. This step also provides a consistent set of rankings and reviews to the marketplace, allowing for early prioritization and stabilizing its early dynamics. We further propose to improve the general quality of reviewing by providing tangible rewards to those who do it well.

X Demographics

X Demographics

The data shown below were collected from the profiles of 114 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 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 6%
Germany 11 5%
Spain 5 2%
Canada 4 2%
Netherlands 3 1%
United Kingdom 3 1%
Brazil 3 1%
Switzerland 2 <1%
France 2 <1%
Other 17 8%
Unknown 153 71%

Demographic breakdown

Readers by professional status Count As %
Researcher 63 29%
Student > Ph. D. Student 39 18%
Student > Master 20 9%
Other 19 9%
Student > Bachelor 13 6%
Other 41 19%
Unknown 21 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 22%
Psychology 29 13%
Computer Science 21 10%
Medicine and Dentistry 18 8%
Neuroscience 18 8%
Other 57 26%
Unknown 25 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 129. 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 25 January 2022.
All research outputs
#327,619
of 25,711,518 outputs
Outputs from Frontiers in Computational Neuroscience
#15
of 1,475 outputs
Outputs of similar age
#1,289
of 192,305 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#1
of 23 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,475 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 98% 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 192,305 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 99% of its contemporaries.
We're also able to compare this research output to 23 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.