| Title |
HIT-COVID, a global database tracking public health interventions to COVID-19
|
|---|---|
| Published in |
Scientific Data, August 2020
|
| DOI | 10.1038/s41597-020-00610-2 |
| Pubmed ID | |
| Authors |
Qulu Zheng, Forrest K. Jones, Sarah V. Leavitt, Lawson Ung, Alain B. Labrique, David H. Peters, Elizabeth C. Lee, Andrew S. Azman |
X Demographics
The data shown below were collected from the profiles of 78 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 | 23 | 29% |
| Colombia | 6 | 8% |
| Spain | 5 | 6% |
| Australia | 4 | 5% |
| Switzerland | 2 | 3% |
| United Kingdom | 2 | 3% |
| New Zealand | 2 | 3% |
| Bangladesh | 1 | 1% |
| Peru | 1 | 1% |
| Other | 7 | 9% |
| Unknown | 25 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 45 | 58% |
| Scientists | 17 | 22% |
| Practitioners (doctors, other healthcare professionals) | 14 | 18% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 163 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 16% |
| Researcher | 23 | 14% |
| Student > Ph. D. Student | 13 | 8% |
| Other | 12 | 7% |
| Student > Bachelor | 12 | 7% |
| Other | 22 | 13% |
| Unknown | 55 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 18% |
| Nursing and Health Professions | 10 | 6% |
| Social Sciences | 10 | 6% |
| Biochemistry, Genetics and Molecular Biology | 6 | 4% |
| Computer Science | 6 | 4% |
| Other | 41 | 25% |
| Unknown | 60 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 55. 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 31 May 2022.
All research outputs
#787,565
of 25,859,234 outputs
Outputs from Scientific Data
#304
of 3,475 outputs
Outputs of similar age
#22,596
of 427,111 outputs
Outputs of similar age from Scientific Data
#15
of 98 outputs
Altmetric has tracked 25,859,234 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 3,475 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done particularly well, scoring higher than 91% 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 427,111 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 94% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.