The data shown below were collected from the profiles of 30 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 |
Engineering Breast Cancer On-chip—Moving Toward Subtype Specific Models
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, June 2021
|
| DOI | 10.3389/fbioe.2021.694218 |
| Pubmed ID | |
| Authors |
Carmen Moccia, Kristina Haase |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 10 | 33% |
| Italy | 2 | 7% |
| United Kingdom | 1 | 3% |
| Sweden | 1 | 3% |
| Unknown | 16 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 50% |
| Members of the public | 12 | 40% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 118 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 13% |
| Student > Master | 12 | 10% |
| Student > Bachelor | 12 | 10% |
| Researcher | 11 | 9% |
| Student > Doctoral Student | 5 | 4% |
| Other | 11 | 9% |
| Unknown | 52 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 19% |
| Engineering | 11 | 9% |
| Agricultural and Biological Sciences | 5 | 4% |
| Immunology and Microbiology | 5 | 4% |
| Medicine and Dentistry | 4 | 3% |
| Other | 16 | 14% |
| Unknown | 54 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 18 July 2022.
All research outputs
#1,311,550
of 26,194,269 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#117
of 8,695 outputs
Outputs of similar age
#32,727
of 459,143 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#6
of 330 outputs
Altmetric has tracked 26,194,269 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,695 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 98% 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 459,143 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 330 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.