| Title |
Agrin induces long-term osteochondral regeneration by supporting repair morphogenesis
|
|---|---|
| Published in |
Science Translational Medicine, September 2020
|
| DOI | 10.1126/scitranslmed.aax9086 |
| Pubmed ID | |
| Authors |
Suzanne E Eldridge, Aida Barawi, Hui Wang, Anke J Roelofs, Magdalena Kaneva, Zeyu Guan, Helen Lydon, Bethan L Thomas, Anne-Sophie Thorup, Beatriz F Fernandez, Sara Caxaria, Danielle Strachan, Ahmed Ali, Kanatheepan Shanmuganathan, Costantino Pitzalis, James R Whiteford, Frances Henson, Andrew W McCaskie, Cosimo De Bari, Francesco Dell'Accio |
X Demographics
The data shown below were collected from the profiles of 19 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 | 6 | 32% |
| United Kingdom | 5 | 26% |
| Unknown | 8 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 95% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 22% |
| Researcher | 15 | 19% |
| Student > Master | 6 | 7% |
| Student > Bachelor | 5 | 6% |
| Student > Doctoral Student | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 22 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 16% |
| Medicine and Dentistry | 12 | 15% |
| Materials Science | 6 | 7% |
| Agricultural and Biological Sciences | 5 | 6% |
| Engineering | 4 | 5% |
| Other | 12 | 15% |
| Unknown | 29 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 815. 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 29 October 2020.
All research outputs
#19,214
of 23,301,510 outputs
Outputs from Science Translational Medicine
#81
of 5,153 outputs
Outputs of similar age
#903
of 400,179 outputs
Outputs of similar age from Science Translational Medicine
#6
of 112 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,153 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 82.9. 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 400,179 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 99% of its contemporaries.
We're also able to compare this research output to 112 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 95% of its contemporaries.