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Mendeley readers
Attention Score in Context
| Title |
Development of a generic auto-calibration package for regional ecological modeling and application in the Central Plains of the United States
|
|---|---|
| Published in |
Ecological Informatics, January 2014
|
| DOI | 10.1016/j.ecoinf.2013.11.008 |
| Authors |
Yiping Wu, Shuguang Liu, Zhengpeng Li, Devendra Dahal, Claudia J. Young, Gail L. Schmidt, Jinxun Liu, Brian Davis, Terry L. Sohl, Jeremy M. Werner, Jennifer Oeding |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Philippines | 1 | 3% |
| Belgium | 1 | 3% |
| Unknown | 33 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 22% |
| Researcher | 5 | 14% |
| Other | 3 | 8% |
| Student > Doctoral Student | 3 | 8% |
| Student > Bachelor | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 13 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 12 | 33% |
| Agricultural and Biological Sciences | 5 | 14% |
| Earth and Planetary Sciences | 4 | 11% |
| Business, Management and Accounting | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 12 | 33% |
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 24 October 2014.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Ecological Informatics
#688
of 760 outputs
Outputs of similar age
#280,470
of 319,281 outputs
Outputs of similar age from Ecological Informatics
#2
of 2 outputs
Altmetric has tracked 25,374,647 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 760 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. 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 319,281 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 2 others from the same source and published within six weeks on either side of this one.