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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Feature‐Based Procedure for Detecting Technical Outliers in Water‐Quality Data From In Situ Sensors
|
|---|---|
| Published in |
Water Resources Research, November 2019
|
| DOI | 10.1029/2019wr024906 |
| Authors |
Priyanga Dilini Talagala, Rob J. Hyndman, Catherine Leigh, Kerrie Mengersen, Kate Smith‐Miles |
X Demographics
The data shown below were collected from the profiles of 11 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 | 55% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 3 | 27% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 15% |
| Student > Master | 6 | 12% |
| Researcher | 6 | 12% |
| Student > Bachelor | 4 | 8% |
| Professor | 4 | 8% |
| Other | 5 | 10% |
| Unknown | 19 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 8 | 15% |
| Computer Science | 5 | 10% |
| Engineering | 5 | 10% |
| Agricultural and Biological Sciences | 3 | 6% |
| Earth and Planetary Sciences | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 24 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 28 January 2021.
All research outputs
#4,756,338
of 23,168,000 outputs
Outputs from Water Resources Research
#1,054
of 4,920 outputs
Outputs of similar age
#97,394
of 366,079 outputs
Outputs of similar age from Water Resources Research
#20
of 93 outputs
Altmetric has tracked 23,168,000 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,920 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 78% 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 366,079 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 73% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.