↓ Skip to main content

Cold Spring Harbor Laboratory Press

Article Metrics

Voodoo Machine Learning for Clinical Predictions

Overview of attention for article published in bioRxiv
Altmetric Badge

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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
6 news outlets
blogs
1 blog
twitter
167 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
93 Mendeley
Title
Voodoo Machine Learning for Clinical Predictions
Published in
bioRxiv
DOI 10.1101/059774
Authors

Saeb, Sohrab, Lonini, Luca, Jayaraman, Arun, Mohr, David C., Kording, Konrad P.

Twitter Demographics

The data shown below were collected from the profiles of 167 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 4%
Germany 3 3%
United States 2 2%
France 1 1%
New Zealand 1 1%
Austria 1 1%
Unknown 81 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 32%
Researcher 23 25%
Student > Master 9 10%
Other 7 8%
Student > Bachelor 6 6%
Other 13 14%
Unknown 5 5%
Readers by discipline Count As %
Engineering 17 18%
Psychology 12 13%
Medicine and Dentistry 10 11%
Computer Science 10 11%
Neuroscience 9 10%
Other 25 27%
Unknown 10 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 150. 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 November 2019.
All research outputs
#122,969
of 15,330,702 outputs
Outputs from bioRxiv
#620
of 87,038 outputs
Outputs of similar age
#4,032
of 265,268 outputs
Outputs of similar age from bioRxiv
#17
of 1,181 outputs
Altmetric has tracked 15,330,702 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 87,038 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. 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 265,268 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 98% of its contemporaries.
We're also able to compare this research output to 1,181 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 98% of its contemporaries.