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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comparison of two quasi‐static computational models for assessment of intra‐myocardial injection as a therapeutic strategy for heart failure
|
|---|---|
| Published in |
International Journal for Numerical Methods in Biomedical Engineering, August 2019
|
| DOI | 10.1002/cnm.3213 |
| Pubmed ID | |
| Authors |
Yiling Fan, William Ronan, Irvin Teh, Jurgen E. Schneider, Claudia E. Varela, William Whyte, Peter McHugh, Sean Leen, Ellen Roche |
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 % |
|---|---|---|
| United States | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 27% |
| Student > Bachelor | 5 | 15% |
| Researcher | 4 | 12% |
| Other | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 9 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 48% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Neuroscience | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 12 | 36% |
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 12 May 2020.
All research outputs
#13,129,458
of 23,146,350 outputs
Outputs from International Journal for Numerical Methods in Biomedical Engineering
#102
of 383 outputs
Outputs of similar age
#160,424
of 345,266 outputs
Outputs of similar age from International Journal for Numerical Methods in Biomedical Engineering
#6
of 9 outputs
Altmetric has tracked 23,146,350 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 383 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 73% 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 345,266 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 52% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.