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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Semantic Subgroup Discovery and Cross-Context Linking for Microarray Data Analysis
|
|---|---|
| Chapter number | 27 |
| Book title |
Bisociative Knowledge Discovery
|
| Published in |
Lecture notes in computer science, January 2016
|
| DOI | 10.1007/978-3-642-31830-6_27 |
| Book ISBNs |
978-3-64-231829-0, 978-3-64-231830-6
|
| Authors |
Igor MozetiÄ, Nada LavraÄ, Vid PodpeÄan, Petra Kralj Novak, Helena Motaln, Marko Petek, Kristina Gruden, Hannu Toivonen, Kimmo Kulovesi, Igor Mozetič, Nada Lavrač, Vid Podpečan, Mozetič, Igor, Lavrač, Nada, Podpečan, Vid, Novak, Petra Kralj, Motaln, Helena, Petek, Marko, Gruden, Kristina, Toivonen, Hannu, Kulovesi, Kimmo |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 11% |
| Slovenia | 1 | 11% |
| Unknown | 7 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 33% |
| Researcher | 2 | 22% |
| Other | 1 | 11% |
| Librarian | 1 | 11% |
| Professor > Associate Professor | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Philosophy | 2 | 22% |
| Computer Science | 2 | 22% |
| Agricultural and Biological Sciences | 2 | 22% |
| Social Sciences | 1 | 11% |
| Unknown | 2 | 22% |
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 19 February 2013.
All research outputs
#15,263,666
of 22,696,971 outputs
Outputs from Lecture notes in computer science
#4,646
of 8,125 outputs
Outputs of similar age
#232,777
of 396,358 outputs
Outputs of similar age from Lecture notes in computer science
#345
of 513 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,125 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 396,358 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 513 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.