| Title |
Coronavirus disease 2019 (COVID-19): an evidence map of medical literature
|
|---|---|
| Published in |
BMC Medical Research Methodology, July 2020
|
| DOI | 10.1186/s12874-020-01059-y |
| Pubmed ID | |
| Authors |
Nan Liu, Marcel Lucas Chee, Chenglin Niu, Pin Pin Pek, Fahad Javaid Siddiqui, John Pastor Ansah, David Bruce Matchar, Sean Shao Wei Lam, Hairil Rizal Abdullah, Angelique Chan, Rahul Malhotra, Nicholas Graves, Mariko Siyue Koh, Sungwon Yoon, Andrew Fu Wah Ho, Daniel Shu Wei Ting, Jenny Guek Hong Low, Marcus Eng Hock Ong |
X Demographics
The data shown below were collected from the profiles of 15 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 Kingdom | 2 | 13% |
| Portugal | 1 | 7% |
| Venezuela, Bolivarian Republic of | 1 | 7% |
| South Africa | 1 | 7% |
| Singapore | 1 | 7% |
| Unknown | 9 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Practitioners (doctors, other healthcare professionals) | 5 | 33% |
| Scientists | 1 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 235 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 235 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 15% |
| Student > Master | 25 | 11% |
| Student > Ph. D. Student | 18 | 8% |
| Librarian | 17 | 7% |
| Student > Bachelor | 14 | 6% |
| Other | 51 | 22% |
| Unknown | 74 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 47 | 20% |
| Nursing and Health Professions | 22 | 9% |
| Social Sciences | 18 | 8% |
| Engineering | 9 | 4% |
| Agricultural and Biological Sciences | 7 | 3% |
| Other | 47 | 20% |
| Unknown | 85 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 15 May 2023.
All research outputs
#2,762,167
of 24,989,834 outputs
Outputs from BMC Medical Research Methodology
#427
of 2,229 outputs
Outputs of similar age
#70,167
of 404,503 outputs
Outputs of similar age from BMC Medical Research Methodology
#24
of 76 outputs
Altmetric has tracked 24,989,834 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,229 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 80% 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 404,503 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 76 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 69% of its contemporaries.