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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Leveraging Biomaterial Mechanics to Improve Pluripotent Stem Cell Applications for Tissue Engineering
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, October 2019
|
| DOI | 10.3389/fbioe.2019.00260 |
| Pubmed ID | |
| Authors |
Stephen Lenzini, Daniel Devine, Jae-Won Shin |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 23% |
| Student > Master | 8 | 20% |
| Researcher | 3 | 8% |
| Professor | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 16 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 18% |
| Engineering | 5 | 13% |
| Immunology and Microbiology | 3 | 8% |
| Agricultural and Biological Sciences | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 5 | 13% |
| Unknown | 18 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 October 2019.
All research outputs
#18,693,088
of 23,166,665 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,477
of 6,852 outputs
Outputs of similar age
#263,109
of 352,741 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#89
of 140 outputs
Altmetric has tracked 23,166,665 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,852 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 31st percentile – i.e., 31% 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 352,741 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.