| Title |
A network medicine approach to investigation and population-based validation of disease manifestations and drug repurposing for COVID-19
|
|---|---|
| Published in |
PLoS Biology, November 2020
|
| DOI | 10.1371/journal.pbio.3000970 |
| Pubmed ID | |
| Authors |
Yadi Zhou, Yuan Hou, Jiayu Shen, Reena Mehra, Asha Kallianpur, Daniel A. Culver, Michaela U. Gack, Samar Farha, Joe Zein, Suzy Comhair, Claudio Fiocchi, Thaddeus Stappenbeck, Timothy Chan, Charis Eng, Jae U. Jung, Lara Jehi, Serpil Erzurum, Feixiong Cheng |
X Demographics
The data shown below were collected from the profiles of 290 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 | 71 | 24% |
| United Kingdom | 10 | 3% |
| Spain | 10 | 3% |
| Canada | 10 | 3% |
| Mexico | 5 | 2% |
| Japan | 4 | 1% |
| Panama | 3 | 1% |
| India | 3 | 1% |
| Germany | 3 | 1% |
| Other | 28 | 10% |
| Unknown | 143 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 225 | 78% |
| Practitioners (doctors, other healthcare professionals) | 29 | 10% |
| Scientists | 27 | 9% |
| Science communicators (journalists, bloggers, editors) | 9 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 290 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 290 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 43 | 15% |
| Student > Ph. D. Student | 32 | 11% |
| Student > Master | 28 | 10% |
| Student > Bachelor | 24 | 8% |
| Other | 13 | 4% |
| Other | 52 | 18% |
| Unknown | 98 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 54 | 19% |
| Biochemistry, Genetics and Molecular Biology | 25 | 9% |
| Computer Science | 16 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 15 | 5% |
| Nursing and Health Professions | 14 | 5% |
| Other | 52 | 18% |
| Unknown | 114 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 997. 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 January 2024.
All research outputs
#16,627
of 25,856,138 outputs
Outputs from PLoS Biology
#52
of 9,362 outputs
Outputs of similar age
#675
of 443,103 outputs
Outputs of similar age from PLoS Biology
#3
of 121 outputs
Altmetric has tracked 25,856,138 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,362 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.8. This one has done particularly well, scoring higher than 99% 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 443,103 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 99% of its contemporaries.
We're also able to compare this research output to 121 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 97% of its contemporaries.