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Attention Score in Context
| Title |
Extending the Range of the Inductionless Magnetorotational Instability
|
|---|---|
| Published in |
Physical Review Letters, August 2013
|
| DOI | 10.1103/physrevlett.111.061103 |
| Pubmed ID | |
| Authors |
Oleg N. Kirillov, Frank Stefani |
| Abstract |
The magnetorotational instability (MRI) can destabilize hydrodynamically stable rotational flows, thereby allowing angular momentum transport in accretion disks. A notorious problem for the MRI is its questionable applicability in regions with low magnetic Reynolds number. Using the WKB method, we extend the range of applicability of the MRI by showing that the inductionless versions of the MRI, such as the helical MRI and the azimuthal MRI, can easily destabilize Keplerian profiles ∝r(-3/2) if the radial profile of the azimuthal magnetic field is only slightly modified from the current-free profile ∝r(-1). This way we further show how the formerly known lower Liu limit of the critical Rossby number Ro≈-0.828 connects naturally with the upper Liu limit Ro≈+4.828. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 36 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 8% |
| Researcher | 3 | 8% |
| Student > Postgraduate | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Unknown | 28 | 74% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 6 | 16% |
| Mathematics | 1 | 3% |
| Computer Science | 1 | 3% |
| Engineering | 1 | 3% |
| Unknown | 29 | 76% |
Attention Score in Context
This research output has an Altmetric Attention Score of 47. 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 May 2021.
All research outputs
#877,563
of 25,391,066 outputs
Outputs from Physical Review Letters
#2,625
of 38,148 outputs
Outputs of similar age
#7,166
of 208,412 outputs
Outputs of similar age from Physical Review Letters
#25
of 685 outputs
Altmetric has tracked 25,391,066 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 38,148 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. 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 208,412 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 96% of its contemporaries.
We're also able to compare this research output to 685 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.