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Mendeley readers
Attention Score in Context
| Title |
Machine learning for predicting soil classes in three semi-arid landscapes
|
|---|---|
| Published in |
Geoderma, February 2015
|
| DOI | 10.1016/j.geoderma.2014.09.019 |
| Authors |
Colby W. Brungard, Janis L. Boettinger, Michael C. Duniway, Skye A. Wills, Thomas C. Edwards |
Mendeley readers
The data shown below were compiled from readership statistics for 343 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | <1% |
| United States | 2 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 337 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 64 | 19% |
| Researcher | 50 | 15% |
| Student > Master | 48 | 14% |
| Student > Doctoral Student | 32 | 9% |
| Student > Bachelor | 19 | 6% |
| Other | 54 | 16% |
| Unknown | 76 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 18% |
| Environmental Science | 60 | 17% |
| Earth and Planetary Sciences | 49 | 14% |
| Computer Science | 30 | 9% |
| Engineering | 14 | 4% |
| Other | 16 | 5% |
| Unknown | 112 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 31 July 2016.
All research outputs
#6,754,462
of 25,374,917 outputs
Outputs from Geoderma
#704
of 2,910 outputs
Outputs of similar age
#84,363
of 361,178 outputs
Outputs of similar age from Geoderma
#8
of 28 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,910 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 74% 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 361,178 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 76% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.