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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Groundwater-flow model for the Wood River Valley aquifer system, south-central Idaho
|
|---|---|
| Published in |
US Geological Survey, June 2016
|
| DOI | 10.3133/sir20165080 |
| Authors |
Jason C. Fisher, James R. Bartolino, Allan H. Wylie, Jennifer Sukow, Michael McVay, Fisher, Jason C., Bartolino, James R., Wylie, Allan H., Sukow, Jennifer, McVay, Michael |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 40% |
| Student > Bachelor | 1 | 20% |
| Student > Postgraduate | 1 | 20% |
| Student > Doctoral Student | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 3 | 60% |
| Engineering | 2 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 17 August 2017.
All research outputs
#2,143,694
of 22,881,964 outputs
Outputs from US Geological Survey
#161
of 2,151 outputs
Outputs of similar age
#40,687
of 352,116 outputs
Outputs of similar age from US Geological Survey
#1
of 6 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 92% 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 352,116 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 88% of its contemporaries.
We're also able to compare this research output to 6 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