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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Evolving Spatially Aggregated Features from Satellite Imagery for Regional Modeling
|
|---|---|
| Chapter number | 66 |
| Book title |
Parallel Problem Solving from Nature – PPSN XIV
|
| Published in |
Lecture notes in computer science, August 2016
|
| DOI | 10.1007/978-3-319-45823-6_66 |
| Book ISBNs |
978-3-31-945822-9, 978-3-31-945823-6
|
| Authors |
Sam Kriegman, Marcin Szubert, Josh C. Bongard, Christian Skalka, Kriegman, Sam, Szubert, Marcin, Bongard, Josh C., Skalka, Christian |
| Editors |
Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa, Ben Paechter |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 26% |
| India | 2 | 9% |
| Netherlands | 1 | 4% |
| Chile | 1 | 4% |
| Unknown | 13 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 87% |
| Scientists | 3 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 33% |
| Student > Master | 3 | 25% |
| Researcher | 1 | 8% |
| Unknown | 4 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 17% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Arts and Humanities | 1 | 8% |
| Materials Science | 1 | 8% |
| Engineering | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 6 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 December 2017.
All research outputs
#3,266,775
of 24,002,307 outputs
Outputs from Lecture notes in computer science
#710
of 8,172 outputs
Outputs of similar age
#55,935
of 342,322 outputs
Outputs of similar age from Lecture notes in computer science
#38
of 498 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,172 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 91% 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 342,322 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 498 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.