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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessment of machine learning models to predict daily streamflow in a semiarid river catchment
|
|---|---|
| Published in |
Neural Computing and Applications, April 2024
|
| DOI | 10.1007/s00521-024-09748-1 |
| Authors |
Amit Kumar, Kumar Gaurav, Abhilash Singh, Zaher Mundher Yaseen |
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 % |
|---|---|---|
| India | 3 | 60% |
| 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 50% |
| Student > Ph. D. Student | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 1 | 50% |
| Engineering | 1 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 10 May 2024.
All research outputs
#8,042,377
of 25,880,948 outputs
Outputs from Neural Computing and Applications
#194
of 2,618 outputs
Outputs of similar age
#59,521
of 204,697 outputs
Outputs of similar age from Neural Computing and Applications
#1
of 6 outputs
Altmetric has tracked 25,880,948 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,618 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done particularly well, scoring higher than 92% 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 204,697 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 70% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them