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Mendeley readers
Attention Score in Context
| Title |
Parallelization of a hydrological model using the message passing interface
|
|---|---|
| Published in |
Environmental Modelling & Software, May 2013
|
| DOI | 10.1016/j.envsoft.2013.02.002 |
| Authors |
Yiping Wu, Tiejian Li, Liqun Sun, Ji Chen |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 7% |
| Finland | 1 | 2% |
| Brazil | 1 | 2% |
| Argentina | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 51 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 19% |
| Student > Master | 10 | 17% |
| Researcher | 8 | 14% |
| Student > Bachelor | 5 | 8% |
| Professor | 5 | 8% |
| Other | 10 | 17% |
| Unknown | 10 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 12 | 20% |
| Environmental Science | 10 | 17% |
| Computer Science | 9 | 15% |
| Earth and Planetary Sciences | 8 | 14% |
| Business, Management and Accounting | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 15 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 October 2018.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from Environmental Modelling & Software
#1,156
of 1,538 outputs
Outputs of similar age
#129,689
of 204,329 outputs
Outputs of similar age from Environmental Modelling & Software
#12
of 15 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,538 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 13th percentile – i.e., 13% 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 204,329 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.