The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of multi-regression machine learning algorithms to solve ocean water mass mixing in the Atlantic Ocean
|
|---|---|
| Published in |
Frontiers in Marine Science, October 2022
|
| DOI | 10.3389/fmars.2022.904492 |
| Authors |
Cristina Romera-Castillo, Jónathan Heras, Marta Álvarez, X. Antón Álvarez-Salgado, Gadea Mata, Eduardo Sáenz-de-Cabezón |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 6 | 19% |
| United Kingdom | 1 | 3% |
| Brazil | 1 | 3% |
| France | 1 | 3% |
| Unknown | 22 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 58% |
| Scientists | 13 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 39% |
| Unspecified | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 5 | 28% |
| Environmental Science | 3 | 17% |
| Chemical Engineering | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 5 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 07 September 2023.
All research outputs
#1,876,567
of 26,586,231 outputs
Outputs from Frontiers in Marine Science
#1,258
of 11,449 outputs
Outputs of similar age
#39,544
of 448,001 outputs
Outputs of similar age from Frontiers in Marine Science
#48
of 763 outputs
Altmetric has tracked 26,586,231 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,449 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done well, scoring higher than 89% 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 448,001 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 763 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 93% of its contemporaries.