| Title |
Hierarchical object-based stochastic modeling of fluvial reservoirs
|
|---|---|
| Published in |
Mathematical Geosciences, October 1996
|
| DOI | 10.1007/bf02066005 |
| Authors |
Clayton V. Deutsch, Libing Wang |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Spain | 1 | 1% |
| Portugal | 1 | 1% |
| Nigeria | 1 | 1% |
| Unknown | 81 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 34% |
| Researcher | 18 | 21% |
| Student > Master | 12 | 14% |
| Other | 7 | 8% |
| Professor > Associate Professor | 7 | 8% |
| Other | 8 | 9% |
| Unknown | 5 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 30 | 35% |
| Engineering | 24 | 28% |
| Environmental Science | 4 | 5% |
| Mathematics | 2 | 2% |
| Computer Science | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 17 | 20% |
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 20 February 2024.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Mathematical Geosciences
#57
of 291 outputs
Outputs of similar age
#8,602
of 27,209 outputs
Outputs of similar age from Mathematical Geosciences
#1
of 1 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 291 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 27,209 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them