| Title |
Diagnostic Approach to Intrinsic Abnormality of Spinal Cord Signal Intensity.
|
|---|---|
| Published in |
RadioGraphics, October 2019
|
| DOI | 10.1148/rg.2019190021 |
| Pubmed ID | |
| Authors |
Michael J Lee, Ryan Aronberg, Matthew S Manganaro, Mohannad Ibrahim, Hemant A Parmar |
X Demographics
The data shown below were collected from the profiles of 42 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 | 9 | 21% |
| Spain | 5 | 12% |
| India | 2 | 5% |
| Italy | 2 | 5% |
| United Kingdom | 1 | 2% |
| Turkey | 1 | 2% |
| Germany | 1 | 2% |
| Switzerland | 1 | 2% |
| Australia | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 15 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 67% |
| Practitioners (doctors, other healthcare professionals) | 9 | 21% |
| Scientists | 3 | 7% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 153 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 25 | 16% |
| Other | 22 | 14% |
| Student > Doctoral Student | 12 | 8% |
| Researcher | 10 | 7% |
| Student > Master | 10 | 7% |
| Other | 26 | 17% |
| Unknown | 48 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 78 | 51% |
| Neuroscience | 8 | 5% |
| Nursing and Health Professions | 4 | 3% |
| Veterinary Science and Veterinary Medicine | 4 | 3% |
| Agricultural and Biological Sciences | 2 | 1% |
| Other | 5 | 3% |
| Unknown | 52 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 21 December 2022.
All research outputs
#1,414,800
of 25,658,541 outputs
Outputs from RadioGraphics
#250
of 2,850 outputs
Outputs of similar age
#30,195
of 363,758 outputs
Outputs of similar age from RadioGraphics
#9
of 46 outputs
Altmetric has tracked 25,658,541 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,850 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done particularly well, scoring higher than 91% 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 363,758 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 46 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.