| Title |
Microengineered 3D pulmonary interstitial mimetics highlight a critical role for matrix degradation in myofibroblast differentiation
|
|---|---|
| Published in |
Science Advances, September 2020
|
| DOI | 10.1126/sciadv.abb5069 |
| Pubmed ID | |
| Authors |
Daniel L Matera, Katarina M DiLillo, Makenzee R Smith, Christopher D Davidson, Ritika Parikh, Mohammed Said, Carole A Wilke, Isabelle M Lombaert, Kelly B Arnold, Bethany B Moore, Brendon M Baker |
X Demographics
The data shown below were collected from the profiles of 61 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 | 25 | 41% |
| United Kingdom | 5 | 8% |
| Australia | 3 | 5% |
| Ireland | 3 | 5% |
| France | 2 | 3% |
| Switzerland | 1 | 2% |
| Germany | 1 | 2% |
| Japan | 1 | 2% |
| Denmark | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 15 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 31 | 51% |
| Scientists | 26 | 43% |
| Science communicators (journalists, bloggers, editors) | 3 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 96 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 28% |
| Researcher | 11 | 11% |
| Student > Bachelor | 8 | 8% |
| Student > Doctoral Student | 8 | 8% |
| Student > Master | 6 | 6% |
| Other | 6 | 6% |
| Unknown | 30 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 20 | 21% |
| Biochemistry, Genetics and Molecular Biology | 16 | 17% |
| Chemical Engineering | 4 | 4% |
| Materials Science | 3 | 3% |
| Medicine and Dentistry | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 40 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 89. 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 04 September 2023.
All research outputs
#487,916
of 25,769,258 outputs
Outputs from Science Advances
#3,486
of 12,449 outputs
Outputs of similar age
#14,548
of 428,251 outputs
Outputs of similar age from Science Advances
#166
of 545 outputs
Altmetric has tracked 25,769,258 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,449 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 119.9. 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 428,251 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 96% of its contemporaries.
We're also able to compare this research output to 545 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 69% of its contemporaries.