| Title |
Quantifying the natural variation in lesion counts over time in untreated hidradenitis suppurativa: Implications for outcome measures and trial design
|
|---|---|
| Published in |
JAAD International, December 2020
|
| DOI | 10.1016/j.jdin.2020.09.005 |
| Pubmed ID | |
| Authors |
John W. Frew, Caroline S. Jiang, Neha Singh, Kristina Navrazhina, Roger Vaughan, James G. Krueger |
Twitter Demographics
The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 25% |
| Student > Ph. D. Student | 1 | 13% |
| Unspecified | 1 | 13% |
| Researcher | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 1 | 13% |
| Unspecified | 1 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 13% |
| Computer Science | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 3 | 38% |