| Title |
Is there a role for laser speckle contrast analysis (LASCA) in predicting the outcome of digital ulcers in patients with systemic sclerosis?
|
|---|---|
| Published in |
Clinical Rheumatology, July 2019
|
| DOI | 10.1007/s10067-019-04662-7 |
| Pubmed ID | |
| Authors |
Simone Barsotti, Anna d’Ascanio, Venturini Valentina, Stagnaro Chiara, Bilia Silvia, Amanzi Laura, Marta Mosca, Alessandra Della Rossa |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ukraine | 2 | 25% |
| India | 1 | 13% |
| United Kingdom | 1 | 13% |
| Argentina | 1 | 13% |
| Philippines | 1 | 13% |
| Mexico | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 25% |
| Student > Ph. D. Student | 5 | 18% |
| Other | 3 | 11% |
| Student > Postgraduate | 3 | 11% |
| Student > Master | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 54% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 6 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 December 2019.
All research outputs
#7,129,456
of 23,929,753 outputs
Outputs from Clinical Rheumatology
#1,069
of 3,136 outputs
Outputs of similar age
#111,843
of 317,356 outputs
Outputs of similar age from Clinical Rheumatology
#40
of 80 outputs
Altmetric has tracked 23,929,753 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,136 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 65% 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 317,356 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 64% of its contemporaries.
We're also able to compare this research output to 80 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 51% of its contemporaries.