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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Applying Limnological Feature-Based Machine Learning Techniques to Chemical State Classification in Marine Transitional Systems
|
|---|---|
| Published in |
Frontiers in Marine Science, July 2021
|
| DOI | 10.3389/fmars.2021.658434 |
| Authors |
Ronnie Concepcion, Elmer Dadios, Argel Bandala, Isabel Caçador, Vanessa F. Fonseca, Bernardo Duarte |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 2 | 25% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 12% |
| Lecturer | 5 | 9% |
| Student > Ph. D. Student | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 28 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 6 | 10% |
| Agricultural and Biological Sciences | 4 | 7% |
| Computer Science | 3 | 5% |
| Business, Management and Accounting | 3 | 5% |
| Economics, Econometrics and Finance | 2 | 3% |
| Other | 9 | 16% |
| Unknown | 31 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 26 March 2022.
All research outputs
#6,407,954
of 23,419,482 outputs
Outputs from Frontiers in Marine Science
#3,418
of 8,935 outputs
Outputs of similar age
#131,381
of 439,952 outputs
Outputs of similar age from Frontiers in Marine Science
#241
of 596 outputs
Altmetric has tracked 23,419,482 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,935 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has gotten more attention than average, scoring higher than 61% 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 439,952 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 69% of its contemporaries.
We're also able to compare this research output to 596 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 59% of its contemporaries.