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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting
|
|---|---|
| Published in |
Frontiers in Neuroscience, January 2019
|
| DOI | 10.3389/fnins.2018.01005 |
| Pubmed ID | |
| Authors |
Claes Nøhr Ladefoged, Lisbeth Marner, Amalie Hindsholm, Ian Law, Liselotte Højgaard, Flemming Littrup Andersen |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 105 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 14% |
| Researcher | 14 | 13% |
| Student > Ph. D. Student | 11 | 10% |
| Unspecified | 9 | 9% |
| Student > Bachelor | 7 | 7% |
| Other | 17 | 16% |
| Unknown | 32 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 18% |
| Engineering | 12 | 11% |
| Unspecified | 9 | 9% |
| Computer Science | 8 | 8% |
| Physics and Astronomy | 8 | 8% |
| Other | 15 | 14% |
| Unknown | 34 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 09 November 2020.
All research outputs
#3,385,429
of 25,622,179 outputs
Outputs from Frontiers in Neuroscience
#2,573
of 11,639 outputs
Outputs of similar age
#74,412
of 446,954 outputs
Outputs of similar age from Frontiers in Neuroscience
#50
of 303 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,639 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 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 446,954 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 83% of its contemporaries.
We're also able to compare this research output to 303 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.