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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cortical hot spots and labyrinths: why cortical neuromodulation for episodic migraine with aura should be personalized
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, March 2015
|
| DOI | 10.3389/fncom.2015.00029 |
| Pubmed ID | |
| Authors |
Markus A. Dahlem, Bernd Schmidt, Ingo Bojak, Sebastian Boie, Frederike Kneer, Nouchine Hadjikhani, Jürgen Kurths |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| Germany | 2 | 29% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Practitioners (doctors, other healthcare professionals) | 2 | 29% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Netherlands | 1 | 2% |
| Unknown | 42 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 29% |
| Researcher | 10 | 22% |
| Professor | 5 | 11% |
| Lecturer | 2 | 4% |
| Professor > Associate Professor | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 10 | 22% |
| Computer Science | 4 | 9% |
| Psychology | 4 | 9% |
| Engineering | 4 | 9% |
| Medicine and Dentistry | 4 | 9% |
| Other | 8 | 18% |
| Unknown | 11 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 26 October 2016.
All research outputs
#1,630,022
of 22,792,160 outputs
Outputs from Frontiers in Computational Neuroscience
#58
of 1,341 outputs
Outputs of similar age
#22,231
of 257,878 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#3
of 30 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,341 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 95% 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 257,878 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 91% of its contemporaries.
We're also able to compare this research output to 30 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 90% of its contemporaries.