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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Self-supervised neural network improves tri-exponential intravoxel incoherent motion model fitting compared to least-squares fitting in non-alcoholic fatty liver disease
|
|---|---|
| Published in |
Frontiers in Physiology, September 2022
|
| DOI | 10.3389/fphys.2022.942495 |
| Pubmed ID | |
| Authors |
Marian A. Troelstra, Anne-Marieke Van Dijk, Julia J. Witjes, Anne Linde Mak, Diona Zwirs, Jurgen H. Runge, Joanne Verheij, Ulrich H. Beuers, Max Nieuwdorp, Adriaan G. Holleboom, Aart J. Nederveen, Oliver J. Gurney-Champion |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 22% |
| Student > Bachelor | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Lecturer | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 3 | 17% |
| Unknown | 5 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 17% |
| Computer Science | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Medicine and Dentistry | 2 | 11% |
| Physics and Astronomy | 2 | 11% |
| Other | 0 | 0% |
| Unknown | 7 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 20 September 2022.
All research outputs
#15,684,753
of 23,376,718 outputs
Outputs from Frontiers in Physiology
#6,796
of 14,101 outputs
Outputs of similar age
#236,529
of 435,541 outputs
Outputs of similar age from Frontiers in Physiology
#314
of 783 outputs
Altmetric has tracked 23,376,718 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,101 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 50% 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 435,541 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 783 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.