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Lagrangian relaxations for multiple network alignment

Overview of attention for article published in Data Mining and Knowledge Discovery, March 2017
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1 X user

Citations

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8 Dimensions

Readers on

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7 Mendeley
Title
Lagrangian relaxations for multiple network alignment
Published in
Data Mining and Knowledge Discovery, March 2017
DOI 10.1007/s10618-017-0505-2
Authors

Eric Malmi, Sanjay Chawla, Aristides Gionis

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Lecturer 1 14%
Student > Bachelor 1 14%
Student > Doctoral Student 1 14%
Researcher 1 14%
Other 1 14%
Readers by discipline Count As %
Computer Science 4 57%
Agricultural and Biological Sciences 1 14%
Mathematics 1 14%
Materials Science 1 14%
Engineering 1 14%
Other 0 0%
Attention Score in Context

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 28 August 2017.
All research outputs
#19,382,126
of 23,854,458 outputs
Outputs from Data Mining and Knowledge Discovery
#490
of 546 outputs
Outputs of similar age
#239,213
of 311,551 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#14
of 17 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 546 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% 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 311,551 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.