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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A framework for automated anomaly detection in high frequency water-quality data from in situ sensors
|
|---|---|
| Published in |
Science of the Total Environment, February 2019
|
| DOI | 10.1016/j.scitotenv.2019.02.085 |
| Pubmed ID | |
| Authors |
Catherine Leigh, Omar Alsibai, Rob J Hyndman, Sevvandi Kandanaarachchi, Olivia C King, James M McGree, Catherine Neelamraju, Jennifer Strauss, Priyanga Dilini Talagala, Ryan D R Turner, Kerrie Mengersen, Erin E Peterson |
X Demographics
The data shown below were collected from the profiles of 10 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 | 6 | 60% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 3 | 30% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 136 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 21% |
| Student > Master | 22 | 16% |
| Researcher | 22 | 16% |
| Student > Doctoral Student | 7 | 5% |
| Student > Bachelor | 6 | 4% |
| Other | 13 | 10% |
| Unknown | 37 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 28 | 21% |
| Computer Science | 21 | 15% |
| Environmental Science | 15 | 11% |
| Earth and Planetary Sciences | 8 | 6% |
| Economics, Econometrics and Finance | 3 | 2% |
| Other | 15 | 11% |
| Unknown | 46 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 03 December 2019.
All research outputs
#6,297,473
of 25,477,125 outputs
Outputs from Science of the Total Environment
#7,963
of 29,854 outputs
Outputs of similar age
#122,221
of 446,955 outputs
Outputs of similar age from Science of the Total Environment
#203
of 672 outputs
Altmetric has tracked 25,477,125 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,854 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 446,955 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 72% of its contemporaries.
We're also able to compare this research output to 672 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 69% of its contemporaries.