| Title |
Bayesian mixture models and their Big Data implementations with application to invasive species presence-only data
|
|---|---|
| Published in |
Journal of Big Data, March 2019
|
| DOI | 10.1186/s40537-019-0188-1 |
| Authors |
Insha Ullah, Kerrie Mengersen |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 29% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 23% |
| Researcher | 4 | 15% |
| Other | 1 | 4% |
| Lecturer | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 5 | 19% |
| Unknown | 8 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 15% |
| Computer Science | 4 | 15% |
| Environmental Science | 3 | 12% |
| Business, Management and Accounting | 2 | 8% |
| Mathematics | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 8 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 06 November 2019.
All research outputs
#6,825,539
of 23,136,540 outputs
Outputs from Journal of Big Data
#111
of 346 outputs
Outputs of similar age
#126,548
of 350,917 outputs
Outputs of similar age from Journal of Big Data
#8
of 16 outputs
Altmetric has tracked 23,136,540 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 346 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has gotten more attention than average, scoring higher than 67% 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 350,917 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 16 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 50% of its contemporaries.