| Title |
Incorporating local-scale variables into distribution models enhances predictability for rare plant species with biological dependencies
|
|---|---|
| Published in |
Biodiversity and Conservation, October 2018
|
| DOI | 10.1007/s10531-018-1645-4 |
| Authors |
Hsiao-Hsuan Wang, Carissa L. Wonkka, Michael L. Treglia, William E. Grant, Fred E. Smeins, William E. Rogers |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 12% |
| Student > Doctoral Student | 5 | 12% |
| Student > Ph. D. Student | 4 | 10% |
| Researcher | 3 | 7% |
| Professor > Associate Professor | 3 | 7% |
| Other | 8 | 19% |
| Unknown | 14 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 36% |
| Environmental Science | 9 | 21% |
| Unspecified | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Immunology and Microbiology | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 15 | 36% |
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 16 October 2018.
All research outputs
#21,358,731
of 23,854,458 outputs
Outputs from Biodiversity and Conservation
#2,213
of 2,319 outputs
Outputs of similar age
#306,991
of 351,486 outputs
Outputs of similar age from Biodiversity and Conservation
#34
of 36 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,319 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 1st percentile – i.e., 1% 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 351,486 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.