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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A multidisciplinary framework to derive global river reach classifications at high spatial resolution
|
|---|---|
| Published in |
Environmental Research Letters (ERL), January 2019
|
| DOI | 10.1088/1748-9326/aad8e9 |
| Authors |
Camille Ouellet Dallaire, Bernhard Lehner, Roger Sayre, Michele Thieme |
X Demographics
The data shown below were collected from the profiles of 95 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 | 14 | 15% |
| Canada | 12 | 13% |
| United Kingdom | 8 | 8% |
| Brazil | 5 | 5% |
| Switzerland | 3 | 3% |
| Germany | 2 | 2% |
| Ecuador | 2 | 2% |
| Pakistan | 2 | 2% |
| Finland | 1 | 1% |
| Other | 9 | 9% |
| Unknown | 37 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 62 | 65% |
| Scientists | 30 | 32% |
| Science communicators (journalists, bloggers, editors) | 3 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 173 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 37 | 21% |
| Student > Ph. D. Student | 36 | 21% |
| Student > Master | 20 | 12% |
| Student > Bachelor | 12 | 7% |
| Professor | 6 | 3% |
| Other | 24 | 14% |
| Unknown | 38 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 52 | 30% |
| Earth and Planetary Sciences | 35 | 20% |
| Agricultural and Biological Sciences | 15 | 9% |
| Engineering | 11 | 6% |
| Economics, Econometrics and Finance | 2 | 1% |
| Other | 10 | 6% |
| Unknown | 48 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 67. 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 01 January 2020.
All research outputs
#649,717
of 25,736,439 outputs
Outputs from Environmental Research Letters (ERL)
#941
of 6,087 outputs
Outputs of similar age
#15,030
of 449,958 outputs
Outputs of similar age from Environmental Research Letters (ERL)
#20
of 81 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,087 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 51.1. This one has done well, scoring higher than 84% 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 449,958 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 96% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.