↓ Skip to main content

A review on multi-task metric learning

Overview of attention for article published in Big Data Analytics, February 2018
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
18 Mendeley
Title
A review on multi-task metric learning
Published in
Big Data Analytics, February 2018
DOI 10.1186/s41044-018-0029-9
Authors

Peipei Yang, Kaizhu Huang, Amir Hussain

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Student > Bachelor 4 22%
Unspecified 4 22%
Student > Master 1 6%
Other 1 6%
Other 3 17%
Readers by discipline Count As %
Computer Science 9 50%
Unspecified 4 22%
Biochemistry, Genetics and Molecular Biology 1 6%
Mathematics 1 6%
Economics, Econometrics and Finance 1 6%
Other 2 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 October 2018.
All research outputs
#10,225,894
of 12,808,036 outputs
Outputs from Big Data Analytics
#20
of 25 outputs
Outputs of similar age
#230,856
of 304,829 outputs
Outputs of similar age from Big Data Analytics
#2
of 6 outputs
Altmetric has tracked 12,808,036 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25 research outputs from this source. They receive a mean Attention Score of 4.4. This one scored the same or higher as 5 of them.
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 304,829 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.