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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Divide-and-Conquer Parallelism for Learning Mixture Models
|
|---|---|
| Chapter number | 2 |
| Book title |
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVIII
|
| Published in |
Lecture notes in computer science, September 2016
|
| DOI | 10.1007/978-3-662-53455-7_2 |
| Book ISBNs |
978-3-66-253454-0, 978-3-66-253455-7
|
| Authors |
Takaya Kawakatsu, Akira Kinoshita, Atsuhiro Takasu, Jun Adachi |
| Editors |
Abdelkader Hameurlain, Josef Küng, Roland Wagner, Qimin Chen |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 40% |
| Researcher | 1 | 20% |
| Student > Ph. D. Student | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 1 | 20% |
| Computer Science | 1 | 20% |
| Medicine and Dentistry | 1 | 20% |
| Unknown | 2 | 40% |
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 16 September 2016.
All research outputs
#20,336,207
of 24,998,746 outputs
Outputs from Lecture notes in computer science
#6,050
of 8,155 outputs
Outputs of similar age
#257,015
of 333,007 outputs
Outputs of similar age from Lecture notes in computer science
#364
of 510 outputs
Altmetric has tracked 24,998,746 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 8,155 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 13th percentile – i.e., 13% 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 333,007 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 510 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.