| Title |
Response to Comment on “Atlantic and Pacific multidecadal oscillations and Northern Hemisphere temperatures”
|
|---|---|
| Published in |
Science, December 2015
|
| DOI | 10.1126/science.aac5208 |
| Pubmed ID | |
| Authors |
B A Steinman, L M Frankcombe, M E Mann, S K Miller, M H England |
| Abstract |
Kravtsov et al. claim that we incorrectly assess the statistical independence of simulated samples of internal climate variability and that we underestimate uncertainty in our calculations of observed internal variability. Their analysis is fundamentally flawed, owing to the use of model ensembles with too few realizations and the fact that no one model can adequately represent the forced signal. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 4 | 36% |
| Ireland | 1 | 9% |
| United Kingdom | 1 | 9% |
| Australia | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 82% |
| Scientists | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 44% |
| Professor | 2 | 22% |
| Student > Doctoral Student | 1 | 11% |
| Lecturer > Senior Lecturer | 1 | 11% |
| Professor > Associate Professor | 1 | 11% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 4 | 44% |
| Environmental Science | 2 | 22% |
| Immunology and Microbiology | 1 | 11% |
| Social Sciences | 1 | 11% |
| Unknown | 1 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 19 September 2022.
All research outputs
#1,556,155
of 24,160,198 outputs
Outputs from Science
#23,452
of 79,432 outputs
Outputs of similar age
#27,047
of 397,381 outputs
Outputs of similar age from Science
#590
of 1,137 outputs
Altmetric has tracked 24,160,198 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 79,432 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 64.2. This one has gotten more attention than average, scoring higher than 70% 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 397,381 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 1,137 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.