| Title |
Artificial intelligence models for predicting the performance of biological wastewater treatment plant in the removal of Kjeldahl Nitrogen from wastewater
|
|---|---|
| Published in |
Applied Water Science, January 2017
|
| DOI | 10.1007/s13201-017-0526-4 |
| Authors |
D. S. Manu, Arun Kumar Thalla |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| India | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 145 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 17% |
| Student > Bachelor | 12 | 8% |
| Researcher | 11 | 8% |
| Student > Master | 10 | 7% |
| Student > Doctoral Student | 8 | 6% |
| Other | 18 | 12% |
| Unknown | 61 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 23 | 16% |
| Environmental Science | 17 | 12% |
| Chemical Engineering | 8 | 6% |
| Agricultural and Biological Sciences | 7 | 5% |
| Unspecified | 3 | 2% |
| Other | 10 | 7% |
| Unknown | 77 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 November 2019.
All research outputs
#15,660,793
of 23,885,338 outputs
Outputs from Applied Water Science
#77
of 216 outputs
Outputs of similar age
#250,182
of 427,256 outputs
Outputs of similar age from Applied Water Science
#2
of 13 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 216 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 62% 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 427,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.