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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Potential for High Fidelity Global Mapping of Common Inland Water Quality Products at High Spatial and Temporal Resolutions Based on a Synthetic Data and Machine Learning Approach
|
|---|---|
| Published in |
Frontiers in Environmental Science, March 2021
|
| DOI | 10.3389/fenvs.2021.587660 |
| Authors |
Jeremy Kravitz, Mark Matthews, Lisl Lain, Sarah Fawcett, Stewart Bernard |
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 % |
|---|---|---|
| United States | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 16% |
| Other | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Student > Master | 2 | 8% |
| Professor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 3 | 12% |
| Agricultural and Biological Sciences | 2 | 8% |
| Earth and Planetary Sciences | 2 | 8% |
| Computer Science | 1 | 4% |
| Physics and Astronomy | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 15 | 60% |
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 12 March 2021.
All research outputs
#13,216,852
of 23,287,285 outputs
Outputs from Frontiers in Environmental Science
#729
of 3,572 outputs
Outputs of similar age
#190,492
of 422,656 outputs
Outputs of similar age from Frontiers in Environmental Science
#41
of 122 outputs
Altmetric has tracked 23,287,285 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,572 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 79% 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 422,656 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 54% of its contemporaries.
We're also able to compare this research output to 122 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 64% of its contemporaries.