| Title |
A multi-scale hierarchical framework for developing understanding of river behaviour to support river management
|
|---|---|
| Published in |
Aquatic Sciences, September 2015
|
| DOI | 10.1007/s00027-015-0424-5 |
| Authors |
A. M. Gurnell, M. Rinaldi, B. Belletti, S. Bizzi, B. Blamauer, G. Braca, A. D. Buijse, M. Bussettini, B. Camenen, F. Comiti, L. Demarchi, D. García de Jalón, M. González del Tánago, R. C. Grabowski, I. D. M. Gunn, H. Habersack, D. Hendriks, A. J. Henshaw, M. Klösch, B. Lastoria, A. Latapie, P. Marcinkowski, V. Martínez-Fernández, E. Mosselman, J. O. Mountford, L. Nardi, T. Okruszko, M. T. O’Hare, M. Palma, C. Percopo, N. Surian, W. van de Bund, C. Weissteiner, L. Ziliani |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 283 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | <1% |
| Peru | 1 | <1% |
| Unknown | 281 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 69 | 24% |
| Researcher | 56 | 20% |
| Student > Master | 27 | 10% |
| Student > Doctoral Student | 14 | 5% |
| Student > Bachelor | 14 | 5% |
| Other | 45 | 16% |
| Unknown | 58 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 99 | 35% |
| Earth and Planetary Sciences | 41 | 14% |
| Agricultural and Biological Sciences | 27 | 10% |
| Engineering | 24 | 8% |
| Medicine and Dentistry | 2 | <1% |
| Other | 11 | 4% |
| Unknown | 79 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 23 December 2020.
All research outputs
#3,399,016
of 25,795,662 outputs
Outputs from Aquatic Sciences
#35
of 707 outputs
Outputs of similar age
#43,414
of 286,933 outputs
Outputs of similar age from Aquatic Sciences
#2
of 36 outputs
Altmetric has tracked 25,795,662 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 707 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 95% 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 286,933 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 36 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 94% of its contemporaries.