You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Attention Score in Context
Evolutionary Multi-Criterion Optimization
Lecture notes in computer science, January 2017
Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret Wiecek, Yaochu Jin, Christian Grimme
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
|Members of the public||4||50%|
|Practitioners (doctors, other healthcare professionals)||2||25%|
|Science communicators (journalists, bloggers, editors)||1||13%|
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
|Readers by professional status||Count||As %|
|Student > Ph. D. Student||3||21%|
|Student > Master||2||14%|
|Student > Bachelor||1||7%|
|Readers by discipline||Count||As %|
|Biochemistry, Genetics and Molecular Biology||1||7%|
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 2019.
All research outputs
of 23,305,591 outputs
Outputs from Lecture notes in computer science
of 8,162 outputs
Outputs of similar age
of 422,802 outputs
Outputs of similar age from Lecture notes in computer science
of 150 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,162 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 96% 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 422,802 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 90% of its contemporaries.
We're also able to compare this research output to 150 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 92% of its contemporaries.