| Title |
Modeling daily water temperature for rivers: comparison between adaptive neuro-fuzzy inference systems and artificial neural networks models
|
|---|---|
| Published in |
Environmental Science and Pollution Research, November 2018
|
| DOI | 10.1007/s11356-018-3650-2 |
| Pubmed ID | |
| Authors |
Senlin Zhu, Salim Heddam, Emmanuel Karlo Nyarko, Marijana Hadzima-Nyarko, Sebastiano Piccolroaz, Shiqiang Wu |
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 % |
|---|---|---|
| Italy | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 15% |
| Student > Ph. D. Student | 10 | 14% |
| Student > Bachelor | 8 | 11% |
| Student > Master | 7 | 10% |
| Lecturer | 6 | 8% |
| Other | 13 | 18% |
| Unknown | 17 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 24% |
| Environmental Science | 7 | 10% |
| Computer Science | 4 | 6% |
| Agricultural and Biological Sciences | 4 | 6% |
| Earth and Planetary Sciences | 3 | 4% |
| Other | 12 | 17% |
| Unknown | 25 | 35% |
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 January 2019.
All research outputs
#15,057,216
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#3,099
of 9,883 outputs
Outputs of similar age
#200,078
of 356,160 outputs
Outputs of similar age from Environmental Science and Pollution Research
#70
of 203 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,883 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 66% 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 356,160 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 203 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 63% of its contemporaries.