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Attention Score in Context
| Title |
Tracking and tracing water consumption for informed water sensitive intervention through machine learning approach
|
|---|---|
| Published in |
npj Clean Water, April 2024
|
| DOI | 10.1038/s41545-024-00309-6 |
| Authors |
Abraha Tesfay Abraha, Tibebu Assefa Woldeamanuel, Ephrem Gebremariam Beyene |
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 26 April 2024.
All research outputs
#4,944,090
of 25,793,330 outputs
Outputs from npj Clean Water
#89
of 231 outputs
Outputs of similar age
#42,371
of 215,335 outputs
Outputs of similar age from npj Clean Water
#3
of 5 outputs
Altmetric has tracked 25,793,330 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 231 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.1. This one has gotten more attention than average, scoring higher than 61% 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 215,335 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.