| Title |
Impacts of internal variability on temperature and precipitation trends in large ensemble simulations by two climate models
|
|---|---|
| Published in |
Climate Dynamics, February 2018
|
| DOI | 10.1007/s00382-018-4132-4 |
| Authors |
Aiguo Dai, Christine E. Bloecker |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 21% |
| Researcher | 17 | 20% |
| Student > Master | 7 | 8% |
| Student > Doctoral Student | 6 | 7% |
| Other | 4 | 5% |
| Other | 11 | 13% |
| Unknown | 22 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 29 | 34% |
| Environmental Science | 15 | 18% |
| Engineering | 8 | 9% |
| Social Sciences | 2 | 2% |
| Physics and Astronomy | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 28 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 02 March 2018.
All research outputs
#2,446,292
of 23,023,224 outputs
Outputs from Climate Dynamics
#684
of 4,955 outputs
Outputs of similar age
#54,677
of 331,055 outputs
Outputs of similar age from Climate Dynamics
#34
of 129 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,955 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 85% 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 331,055 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 83% of its contemporaries.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.