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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Proceedings of the Sixth Deep Brain Stimulation Think Tank Modulation of Brain Networks and Application of Advanced Neuroimaging, Neurophysiology, and Optogenetics
|
|---|---|
| Published in |
Frontiers in Neuroscience, September 2019
|
| DOI | 10.3389/fnins.2019.00936 |
| Pubmed ID | |
| Authors |
Adolfo Ramirez-Zamora, James Giordano, Edward S. Boyden, Viviana Gradinaru, Aysegul Gunduz, Philip A. Starr, Sameer A. Sheth, Cameron C. McIntyre, Michael D. Fox, Jerrold Vitek, Vinata Vedam-Mai, Umer Akbar, Leonardo Almeida, Helen M. Bronte-Stewart, Helen S. Mayberg, Nader Pouratian, Aryn H. Gittis, Annabelle C. Singer, Meaghan C. Creed, Gabriel Lazaro-Munoz, Mark Richardson, Marvin A. Rossi, Leopoldo Cendejas-Zaragoza, Pierre-Francois D’Haese, Winston Chiong, Ro’ee Gilron, Howard Chizeck, Andrew Ko, Kenneth B. Baker, Joost Wagenaar, Noam Harel, Wissam Deeb, Kelly D. Foote, Michael S. Okun |
X Demographics
The data shown below were collected from the profiles of 16 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 | 25% |
| Switzerland | 1 | 6% |
| Australia | 1 | 6% |
| Unknown | 10 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 81% |
| Scientists | 2 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 133 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 17% |
| Student > Ph. D. Student | 17 | 13% |
| Student > Bachelor | 14 | 11% |
| Other | 10 | 8% |
| Student > Master | 10 | 8% |
| Other | 28 | 21% |
| Unknown | 32 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 29 | 22% |
| Medicine and Dentistry | 17 | 13% |
| Engineering | 10 | 8% |
| Computer Science | 6 | 5% |
| Agricultural and Biological Sciences | 6 | 5% |
| Other | 18 | 14% |
| Unknown | 47 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 01 March 2022.
All research outputs
#2,294,120
of 26,215,093 outputs
Outputs from Frontiers in Neuroscience
#1,335
of 11,786 outputs
Outputs of similar age
#45,293
of 353,899 outputs
Outputs of similar age from Frontiers in Neuroscience
#42
of 358 outputs
Altmetric has tracked 26,215,093 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,786 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 88% 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 353,899 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 87% of its contemporaries.
We're also able to compare this research output to 358 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.