| Title |
Artificial Neural Network–Based Prediction of Outcome in Parkinson’s Disease Patients Using DaTscan SPECT Imaging Features
|
|---|---|
| Published in |
Molecular Imaging and Biology, March 2019
|
| DOI | 10.1007/s11307-019-01334-5 |
| Pubmed ID | |
| Authors |
Jing Tang, Bao Yang, Matthew P. Adams, Nikolay N. Shenkov, Ivan S. Klyuzhin, Sima Fotouhi, Esmaeil Davoodi-Bojd, Lijun Lu, Hamid Soltanian-Zadeh, Vesna Sossi, Arman Rahmim |
X Demographics
The data shown below were collected from the profiles of 8 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 | 50% |
| Canada | 1 | 13% |
| Netherlands | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 1 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 16% |
| Researcher | 7 | 10% |
| Student > Master | 6 | 9% |
| Other | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Other | 11 | 16% |
| Unknown | 23 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 15% |
| Computer Science | 9 | 13% |
| Engineering | 9 | 13% |
| Neuroscience | 5 | 7% |
| Physics and Astronomy | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 28 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 23 May 2020.
All research outputs
#6,866,395
of 25,385,509 outputs
Outputs from Molecular Imaging and Biology
#195
of 837 outputs
Outputs of similar age
#122,687
of 365,867 outputs
Outputs of similar age from Molecular Imaging and Biology
#2
of 24 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 837 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 76% 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 365,867 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 24 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 91% of its contemporaries.