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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning Incorporated With Causal Analysis for Short-Term Prediction of Sea Ice
|
|---|---|
| Published in |
Frontiers in Marine Science, May 2021
|
| DOI | 10.3389/fmars.2021.649378 |
| Authors |
Ming Li, Ren Zhang, Kefeng Liu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 10% |
| Egypt | 1 | 10% |
| Unknown | 8 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 21% |
| Student > Postgraduate | 2 | 14% |
| Student > Ph. D. Student | 1 | 7% |
| Researcher | 1 | 7% |
| Unknown | 7 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 14% |
| Earth and Planetary Sciences | 2 | 14% |
| Engineering | 2 | 14% |
| Economics, Econometrics and Finance | 1 | 7% |
| Unknown | 7 | 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 18 May 2021.
All research outputs
#7,478,599
of 24,590,593 outputs
Outputs from Frontiers in Marine Science
#3,984
of 10,019 outputs
Outputs of similar age
#153,288
of 435,313 outputs
Outputs of similar age from Frontiers in Marine Science
#242
of 480 outputs
Altmetric has tracked 24,590,593 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 10,019 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has gotten more attention than average, scoring higher than 59% 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 435,313 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 64% of its contemporaries.
We're also able to compare this research output to 480 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.