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Abrupt rise of new machine ecology beyond human response time

Overview of attention for article published in Scientific Reports, September 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news
29 news outlets
blogs
7 blogs
twitter
547 tweeters
facebook
59 Facebook pages
googleplus
70 Google+ users
reddit
6 Redditors

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
109 Mendeley
citeulike
3 CiteULike
Title
Abrupt rise of new machine ecology beyond human response time
Published in
Scientific Reports, September 2013
DOI 10.1038/srep02627
Pubmed ID
Authors

Neil Johnson, Guannan Zhao, Eric Hunsader, Hong Qi, Nicholas Johnson, Jing Meng, Brian Tivnan

Abstract

Society's techno-social systems are becoming ever faster and more computer-orientated. However, far from simply generating faster versions of existing behaviour, we show that this speed-up can generate a new behavioural regime as humans lose the ability to intervene in real time. Analyzing millisecond-scale data for the world's largest and most powerful techno-social system, the global financial market, we uncover an abrupt transition to a new all-machine phase characterized by large numbers of subsecond extreme events. The proliferation of these subsecond events shows an intriguing correlation with the onset of the system-wide financial collapse in 2008. Our findings are consistent with an emerging ecology of competitive machines featuring 'crowds' of predatory algorithms, and highlight the need for a new scientific theory of subsecond financial phenomena.

Twitter Demographics

The data shown below were collected from the profiles of 547 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Canada 2 2%
United Kingdom 2 2%
Switzerland 2 2%
Spain 2 2%
New Zealand 1 <1%
Lithuania 1 <1%
Netherlands 1 <1%
India 1 <1%
Other 4 4%
Unknown 89 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 25%
Researcher 24 22%
Student > Master 14 13%
Other 12 11%
Professor 9 8%
Other 23 21%
Readers by discipline Count As %
Computer Science 16 15%
Physics and Astronomy 16 15%
Social Sciences 14 13%
Agricultural and Biological Sciences 13 12%
Unspecified 11 10%
Other 39 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 816. 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 03 September 2018.
All research outputs
#5,742
of 13,120,399 outputs
Outputs from Scientific Reports
#96
of 62,459 outputs
Outputs of similar age
#52
of 158,258 outputs
Outputs of similar age from Scientific Reports
#1
of 4 outputs
Altmetric has tracked 13,120,399 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 62,459 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done particularly well, scoring higher than 99% 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 158,258 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them