| Title |
Indirect implications of COVID-19 prevention strategies on non-communicable diseases
|
|---|---|
| Published in |
BMC Medicine, August 2020
|
| DOI | 10.1186/s12916-020-01723-6 |
| Pubmed ID | |
| Authors |
Pietro A. Modesti, Jiguang Wang, Albertino Damasceno, Charles Agyemang, Luc Van Bortel, Alexandre Persu, Dong Zhao, Faical Jarraya, Ilaria Marzotti, Mohamed Bamoshmoosh, Gianfranco Parati, Aletta E. Schutte |
X Demographics
The data shown below were collected from the profiles of 12 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 | 3 | 25% |
| Australia | 2 | 17% |
| Kazakhstan | 1 | 8% |
| Spain | 1 | 8% |
| Argentina | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 33% |
| Scientists | 3 | 25% |
| Practitioners (doctors, other healthcare professionals) | 3 | 25% |
| Science communicators (journalists, bloggers, editors) | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 210 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 10% |
| Student > Bachelor | 19 | 9% |
| Researcher | 18 | 9% |
| Student > Ph. D. Student | 13 | 6% |
| Student > Doctoral Student | 10 | 5% |
| Other | 39 | 19% |
| Unknown | 89 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 41 | 20% |
| Nursing and Health Professions | 23 | 11% |
| Social Sciences | 9 | 4% |
| Psychology | 6 | 3% |
| Engineering | 5 | 2% |
| Other | 26 | 12% |
| Unknown | 100 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 11 November 2020.
All research outputs
#3,634,773
of 25,081,505 outputs
Outputs from BMC Medicine
#2,087
of 3,922 outputs
Outputs of similar age
#87,902
of 404,428 outputs
Outputs of similar age from BMC Medicine
#58
of 98 outputs
Altmetric has tracked 25,081,505 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,922 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.6. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 404,428 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 78% 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 is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.