The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
3D in vivo Magnetic Particle Imaging of Human Stem Cell-Derived Islet Organoid Transplantation Using a Machine Learning Algorithm
|
|---|---|
| Published in |
Frontiers in Cell and Developmental Biology, August 2021
|
| DOI | 10.3389/fcell.2021.704483 |
| Pubmed ID | |
| Authors |
Aixia Sun, Hasaan Hayat, Sihai Liu, Eliah Tull, Jack Owen Bishop, Bennett Francis Dwan, Mithil Gudi, Nazanin Talebloo, James Raynard Dizon, Wen Li, Jeffery Gaudet, Adam Alessio, Aitor Aguirre, Ping Wang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 11% |
| Student > Ph. D. Student | 3 | 8% |
| Student > Master | 3 | 8% |
| Student > Bachelor | 1 | 3% |
| Librarian | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 23 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 8% |
| Chemistry | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Computer Science | 2 | 5% |
| Materials Science | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 21 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 March 2023.
All research outputs
#13,898,915
of 23,572,442 outputs
Outputs from Frontiers in Cell and Developmental Biology
#2,563
of 9,443 outputs
Outputs of similar age
#194,125
of 432,817 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#247
of 1,006 outputs
Altmetric has tracked 23,572,442 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,443 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 71% 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 432,817 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 53% of its contemporaries.
We're also able to compare this research output to 1,006 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 74% of its contemporaries.