| Title |
Trends in the Use of Telehealth During the Emergence of the COVID-19 Pandemic — United States, January–March 2020
|
|---|---|
| Published in |
MMWR: Morbidity & Mortality Weekly Report, October 2020
|
| DOI | 10.15585/mmwr.mm6943a3 |
| Pubmed ID | |
| Authors |
Lisa M. Koonin, Brooke Hoots, Clarisse A. Tsang, Zanie Leroy, Kevin Farris, Brandon Jolly, Peter Antall, Bridget McCabe, Cynthia B.R. Zelis, Ian Tong, Aaron M. Harris |
X Demographics
The data shown below were collected from the profiles of 174 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 | 78 | 45% |
| Nigeria | 5 | 3% |
| Spain | 4 | 2% |
| Canada | 4 | 2% |
| Japan | 3 | 2% |
| Curaçao | 2 | 1% |
| Puerto Rico | 2 | 1% |
| United Kingdom | 2 | 1% |
| Jamaica | 1 | <1% |
| Other | 8 | 5% |
| Unknown | 65 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 139 | 80% |
| Practitioners (doctors, other healthcare professionals) | 22 | 13% |
| Scientists | 10 | 6% |
| Science communicators (journalists, bloggers, editors) | 3 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 636 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 636 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 68 | 11% |
| Student > Bachelor | 67 | 11% |
| Researcher | 50 | 8% |
| Student > Ph. D. Student | 48 | 8% |
| Student > Doctoral Student | 41 | 6% |
| Other | 104 | 16% |
| Unknown | 258 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 114 | 18% |
| Nursing and Health Professions | 71 | 11% |
| Social Sciences | 38 | 6% |
| Engineering | 22 | 3% |
| Computer Science | 17 | 3% |
| Other | 100 | 16% |
| Unknown | 274 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1325. 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 08 November 2023.
All research outputs
#9,423
of 24,932,434 outputs
Outputs from MMWR: Morbidity & Mortality Weekly Report
#264
of 4,115 outputs
Outputs of similar age
#439
of 428,083 outputs
Outputs of similar age from MMWR: Morbidity & Mortality Weekly Report
#29
of 126 outputs
Altmetric has tracked 24,932,434 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 4,115 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 340.8. This one has done particularly well, scoring higher than 93% 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 428,083 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 126 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.