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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An Open Source C++ Implementation of Multi-Threaded Gaussian Mixture Models, k-Means and Expectation Maximisation
|
|---|---|
| Published in |
arXiv, December 2017
|
| DOI | 10.1109/icspcs.2017.8270510 |
| Authors |
Conrad Sanderson, Ryan Curtin |
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 % |
|---|---|---|
| Unknown | 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 29% |
| Student > Master | 5 | 13% |
| Other | 4 | 11% |
| Researcher | 4 | 11% |
| Student > Postgraduate | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 29% |
| Engineering | 8 | 21% |
| Physics and Astronomy | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Mathematics | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 9 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 21 July 2020.
All research outputs
#13,565,040
of 22,994,508 outputs
Outputs from arXiv
#230,715
of 943,638 outputs
Outputs of similar age
#215,841
of 437,812 outputs
Outputs of similar age from arXiv
#5,966
of 21,420 outputs
Altmetric has tracked 22,994,508 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 943,638 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 73% 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 437,812 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21,420 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.