You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
From data to interpretable models: machine learning for soil moisture forecasting
|
|---|---|
| Published in |
International Journal of Data Science and Analytics, August 2022
|
| DOI | 10.1007/s41060-022-00347-8 |
| Pubmed ID | |
| Authors |
Aniruddha Basak, Kevin M. Schmidt, Ole Jakob Mengshoel |
X Demographics
The data shown below were collected from the profiles of 6 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 | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 15% |
| Unspecified | 4 | 12% |
| Other | 2 | 6% |
| Student > Master | 2 | 6% |
| Lecturer | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 19 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 12% |
| Engineering | 3 | 9% |
| Computer Science | 3 | 9% |
| Environmental Science | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 19 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 29 December 2022.
All research outputs
#13,830,240
of 23,885,338 outputs
Outputs from International Journal of Data Science and Analytics
#61
of 210 outputs
Outputs of similar age
#169,215
of 416,810 outputs
Outputs of similar age from International Journal of Data Science and Analytics
#4
of 21 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 210 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 70% 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 416,810 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 58% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.