Electronic specific heat capacities and entropies from density matrix quantum Monte Carlo using Gaussian process regression to find gradients of noisy data
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 15 May 2023.
All research outputs
#22,699,678
of 27,791,073 outputs
Outputs from Journal of Chemical Physics
#13,822
of 20,734 outputs
Outputs of similar age
#300,062
of 403,120 outputs
Outputs of similar age from Journal of Chemical Physics
#192
of 273 outputs
Altmetric has tracked 27,791,073 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,734 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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We're also able to compare this research output to 273 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
