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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Spinal cord stimulation in chronic pain: evidence and theory for mechanisms of action
|
|---|---|
| Published in |
Bioelectronic Medicine, June 2019
|
| DOI | 10.1186/s42234-019-0023-1 |
| Pubmed ID | |
| Authors |
Jacob Caylor, Rajiv Reddy, Sopyda Yin, Christina Cui, Mingxiong Huang, Charles Huang, Ramesh Rao, Dewleen G. Baker, Alan Simmons, Dmitri Souza, Samer Narouze, Ricardo Vallejo, Imanuel Lerman |
X Demographics
The data shown below were collected from the profiles of 29 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 | 15 | 52% |
| United Kingdom | 1 | 3% |
| Australia | 1 | 3% |
| Costa Rica | 1 | 3% |
| Russia | 1 | 3% |
| Nepal | 1 | 3% |
| India | 1 | 3% |
| Unknown | 8 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 41% |
| Scientists | 8 | 28% |
| Practitioners (doctors, other healthcare professionals) | 7 | 24% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 231 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 13% |
| Student > Bachelor | 21 | 9% |
| Student > Master | 19 | 8% |
| Other | 19 | 8% |
| Student > Ph. D. Student | 16 | 7% |
| Other | 40 | 17% |
| Unknown | 86 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 55 | 24% |
| Neuroscience | 31 | 13% |
| Engineering | 18 | 8% |
| Biochemistry, Genetics and Molecular Biology | 6 | 3% |
| Nursing and Health Professions | 6 | 3% |
| Other | 20 | 9% |
| Unknown | 95 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 07 September 2023.
All research outputs
#976,251
of 24,396,012 outputs
Outputs from Bioelectronic Medicine
#14
of 123 outputs
Outputs of similar age
#21,899
of 354,530 outputs
Outputs of similar age from Bioelectronic Medicine
#3
of 7 outputs
Altmetric has tracked 24,396,012 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 123 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.1. This one has done well, scoring higher than 89% 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 354,530 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.