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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Methods for verification of 3D printed anatomic model accuracy using cardiac models as an example
|
|---|---|
| Published in |
3D Printing in Medicine, March 2019
|
| DOI | 10.1186/s41205-019-0043-1 |
| Pubmed ID | |
| Authors |
Mohammad Odeh, Dmitry Levin, Jim Inziello, Fluvio Lobo Fenoglietto, Moses Mathur, Joshua Hermsen, Jack Stubbs, Beth Ripley |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 15% |
| Student > Bachelor | 12 | 13% |
| Researcher | 11 | 12% |
| Student > Master | 7 | 8% |
| Other | 5 | 5% |
| Other | 9 | 10% |
| Unknown | 34 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 25 | 27% |
| Medicine and Dentistry | 13 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Computer Science | 2 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 8 | 9% |
| Unknown | 39 | 42% |
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 23 April 2019.
All research outputs
#13,407,546
of 23,138,859 outputs
Outputs from 3D Printing in Medicine
#55
of 113 outputs
Outputs of similar age
#172,955
of 351,128 outputs
Outputs of similar age from 3D Printing in Medicine
#2
of 2 outputs
Altmetric has tracked 23,138,859 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 113 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 351,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.