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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine-learning based approach to examine ecological processes influencing the diversity of riverine dissolved organic matter composition
|
|---|---|
| Published in |
Frontiers in Water, May 2024
|
| DOI | 10.3389/frwa.2024.1379284 |
| Authors |
Moritz Müller, Juliana D’Andrilli, Victoria Silverman, Raven L. Bier, Malcolm A. Barnard, Miko Chang May Lee, Florina Richard, Andrew J. Tanentzap, Jianjun Wang, Michaela de Melo, YueHan Lu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 75% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 20% |
| Student > Ph. D. Student | 1 | 20% |
| Student > Bachelor | 1 | 20% |
| Researcher | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 20% |
| Biochemistry, Genetics and Molecular Biology | 1 | 20% |
| Earth and Planetary Sciences | 1 | 20% |
| Chemistry | 1 | 20% |
| Unknown | 1 | 20% |
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 08 May 2024.
All research outputs
#8,676,814
of 25,870,142 outputs
Outputs from Frontiers in Water
#154
of 746 outputs
Outputs of similar age
#54,769
of 172,923 outputs
Outputs of similar age from Frontiers in Water
#3
of 32 outputs
Altmetric has tracked 25,870,142 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 746 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 78% 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 172,923 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 68% of its contemporaries.
We're also able to compare this research output to 32 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 90% of its contemporaries.