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| Title |
A Systematic Guideline by the ASPN Workgroup on the Evidence, Education, and Treatment Algorithm for Painful Diabetic Neuropathy: SWEET
|
|---|---|
| Published in |
Journal of Pain Research, April 2024
|
| DOI | 10.2147/jpr.s451006 |
| Pubmed ID | |
| Authors |
Dawood Sayed, Timothy Ray Deer, Jonathan M Hagedorn, Asim Sayed, Ryan S D’Souza, Christopher M Lam, Nasir Khatri, Zohra Hussaini, Scott G Pritzlaff, Newaj Mohammad Abdullah, Vinicius Tieppo Francio, Steven Michael Falowski, Yussr M Ibrahim, Mark N Malinowski, Ryan R Budwany, Natalie Holmes Strand, Kamil M Sochacki, Anuj Shah, Tyler M Dunn, Morad Nasseri, David W Lee, Leonardo Kapural, Marshall David Bedder, Erika A Petersen, Kasra Amirdelfan, Michael E Schatman, Jay Samuel Grider |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 8% |
| Unknown | 11 | 92% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 83% |
| Scientists | 1 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 11 | 65% |
| Researcher | 1 | 6% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 11 | 65% |
| Neuroscience | 1 | 6% |
| Unknown | 5 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 04 June 2024.
All research outputs
#5,330,647
of 26,075,497 outputs
Outputs from Journal of Pain Research
#563
of 2,024 outputs
Outputs of similar age
#74,292
of 334,327 outputs
Outputs of similar age from Journal of Pain Research
#8
of 41 outputs
Altmetric has tracked 26,075,497 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,024 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 gotten more attention than average, scoring higher than 72% 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 334,327 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 77% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.