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ACES: a machine learning toolbox for clustering analysis and visualization

Overview of attention for article published in BMC Genomics, December 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
30 Mendeley
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Title
ACES: a machine learning toolbox for clustering analysis and visualization
Published in
BMC Genomics, December 2018
DOI 10.1186/s12864-018-5300-y
Pubmed ID
Authors

Jiangning Gao, Görel Sundström, Behrooz Torabi Moghadam, Neda Zamani, Manfred G. Grabherr

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Student > Ph. D. Student 4 13%
Student > Master 4 13%
Student > Bachelor 3 10%
Student > Doctoral Student 3 10%
Other 3 10%
Unknown 6 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 17%
Medicine and Dentistry 4 13%
Biochemistry, Genetics and Molecular Biology 3 10%
Computer Science 2 7%
Nursing and Health Professions 2 7%
Other 7 23%
Unknown 7 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 31 December 2018.
All research outputs
#14,338,684
of 24,093,053 outputs
Outputs from BMC Genomics
#5,233
of 10,906 outputs
Outputs of similar age
#223,094
of 444,708 outputs
Outputs of similar age from BMC Genomics
#98
of 241 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,906 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 444,708 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 241 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.