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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting microbial community compositions in wastewater treatment plants using artificial neural networks
|
|---|---|
| Published in |
Microbiome, April 2023
|
| DOI | 10.1186/s40168-023-01519-9 |
| Pubmed ID | |
| Authors |
Xiaonan Liu, Yong Nie, Xiao-Lei Wu |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sri Lanka | 1 | 20% |
| China | 1 | 20% |
| India | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 19% |
| Researcher | 5 | 14% |
| Student > Master | 4 | 11% |
| Professor > Associate Professor | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 11 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 10 | 27% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Agricultural and Biological Sciences | 3 | 8% |
| Engineering | 2 | 5% |
| Chemical Engineering | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 15 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 12 July 2023.
All research outputs
#2,968,272
of 24,059,832 outputs
Outputs from Microbiome
#1,110
of 1,589 outputs
Outputs of similar age
#54,060
of 386,854 outputs
Outputs of similar age from Microbiome
#38
of 80 outputs
Altmetric has tracked 24,059,832 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,589 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 386,854 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 86% of its contemporaries.
We're also able to compare this research output to 80 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 53% of its contemporaries.