| Title |
Changes in the spatial distribution of COVID-19 incidence in Italy using GIS-based maps
|
|---|---|
| Published in |
Annals of Clinical Microbiology and Antimicrobials, July 2020
|
| DOI | 10.1186/s12941-020-00373-z |
| Pubmed ID | |
| Authors |
Cecilia Acuti Martellucci, Ranjit Sah, Ali A. Rabaan, Kuldeep Dhama, Cristina Casalone, Kovy Arteaga-Livias, Toyoaki Sawano, Akihiko Ozaki, Divya Bhandari, Asaka Higuchi, Yasuhiro Kotera, Zareena Fathah, Namrata Roy, Mohammed Ateeq Ur Rahman, Tetsuya Tanimoto, Alfonso J. Rodriguez-Morales |
X Demographics
The data shown below were collected from the profiles of 9 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 | 22% |
| India | 1 | 11% |
| Venezuela, Bolivarian Republic of | 1 | 11% |
| Saudi Arabia | 1 | 11% |
| Peru | 1 | 11% |
| Colombia | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 135 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 10% |
| Researcher | 12 | 9% |
| Other | 9 | 7% |
| Student > Bachelor | 7 | 5% |
| Student > Ph. D. Student | 6 | 4% |
| Other | 24 | 18% |
| Unknown | 64 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 11% |
| Nursing and Health Professions | 10 | 7% |
| Environmental Science | 7 | 5% |
| Social Sciences | 5 | 4% |
| Agricultural and Biological Sciences | 4 | 3% |
| Other | 29 | 21% |
| Unknown | 65 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 26 July 2020.
All research outputs
#6,230,404
of 23,221,875 outputs
Outputs from Annals of Clinical Microbiology and Antimicrobials
#117
of 617 outputs
Outputs of similar age
#134,370
of 399,278 outputs
Outputs of similar age from Annals of Clinical Microbiology and Antimicrobials
#1
of 14 outputs
Altmetric has tracked 23,221,875 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 617 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 81% 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 399,278 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.