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Mass estimation

Overview of attention for article published in Machine Learning, June 2012
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
41 Mendeley
citeulike
1 CiteULike
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Title
Mass estimation
Published in
Machine Learning, June 2012
DOI 10.1007/s10994-012-5303-x
Authors

Kai Ming Ting, Guang-Tong Zhou, Fei Tony Liu, Swee Chuan Tan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Belgium 1 2%
Unknown 39 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 29%
Student > Master 5 12%
Student > Bachelor 4 10%
Researcher 4 10%
Student > Postgraduate 3 7%
Other 6 15%
Unknown 7 17%
Readers by discipline Count As %
Computer Science 22 54%
Decision Sciences 2 5%
Engineering 2 5%
Physics and Astronomy 2 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 3 7%
Unknown 9 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 August 2014.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from Machine Learning
#281
of 961 outputs
Outputs of similar age
#54,842
of 164,524 outputs
Outputs of similar age from Machine Learning
#2
of 12 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 961 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 53% 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 164,524 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.