| Title |
Inpatient Use of Ambulatory Telemetry Monitors for COVID-19 Patients Treated With Hydroxychloroquine and/or Azithromycin
|
|---|---|
| Published in |
JACC, April 2020
|
| DOI | 10.1016/j.jacc.2020.04.032 |
| Pubmed ID | |
| Authors |
David Chang, Moussa Saleh, James Gabriels, Haisam Ismail, Bruce Goldner, Jonathan Willner, Stuart Beldner, Raman Mitra, Roy John, Laurence M Epstein |
X Demographics
The data shown below were collected from the profiles of 18 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 | 4 | 22% |
| Spain | 3 | 17% |
| Ireland | 1 | 6% |
| Canada | 1 | 6% |
| Russia | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 7 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 72% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 182 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 13% |
| Student > Bachelor | 23 | 13% |
| Other | 19 | 10% |
| Student > Ph. D. Student | 17 | 9% |
| Student > Master | 13 | 7% |
| Other | 41 | 23% |
| Unknown | 45 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 66 | 36% |
| Pharmacology, Toxicology and Pharmaceutical Science | 10 | 5% |
| Nursing and Health Professions | 8 | 4% |
| Biochemistry, Genetics and Molecular Biology | 7 | 4% |
| Social Sciences | 4 | 2% |
| Other | 31 | 17% |
| Unknown | 56 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 49. 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 03 July 2020.
All research outputs
#855,553
of 25,387,668 outputs
Outputs from JACC
#2,150
of 16,743 outputs
Outputs of similar age
#25,059
of 403,635 outputs
Outputs of similar age from JACC
#59
of 245 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,743 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. This one has done well, scoring higher than 87% 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 403,635 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 93% of its contemporaries.
We're also able to compare this research output to 245 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.