| Title |
CovMulNet19, Integrating Proteins, Diseases, Drugs, and Symptoms: A Network Medicine Approach to COVID-19
|
|---|---|
| Published in |
Network and Systems Medicine, November 2020
|
| DOI | 10.1089/nsm.2020.0011 |
| Pubmed ID | |
| Authors |
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X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 4 | 17% |
| Italy | 3 | 13% |
| Spain | 2 | 8% |
| United States | 2 | 8% |
| Sweden | 1 | 4% |
| Japan | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 10 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 63% |
| Scientists | 8 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley demographics
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 20% |
| Student > Doctoral Student | 5 | 13% |
| Student > Master | 5 | 13% |
| Student > Bachelor | 4 | 10% |
| Other | 3 | 8% |
| Other | 8 | 20% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 28% |
| Biochemistry, Genetics and Molecular Biology | 5 | 13% |
| Agricultural and Biological Sciences | 4 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 8% |
| Nursing and Health Professions | 3 | 8% |
| Other | 6 | 15% |
| Unknown | 8 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 October 2022.
All research outputs
#3,236,888
of 32,393,211 outputs
Outputs from Network and Systems Medicine
#3
of 11 outputs
Outputs of similar age
#69,572
of 556,786 outputs
Outputs of similar age from Network and Systems Medicine
#2
of 3 outputs
Altmetric has tracked 32,393,211 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one scored the same or higher as 8 of them.
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 556,786 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 87% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.