| Title |
Chinese expert consensus on diagnosis and treatment of coagulation dysfunction in COVID-19
|
|---|---|
| Published in |
Military Medical Research, April 2020
|
| DOI | 10.1186/s40779-020-00247-7 |
| Pubmed ID | |
| Authors |
Jing-Chun Song, Gang Wang, Wei Zhang, Yang Zhang, Wei-Qin Li, Zhou Zhou |
X Demographics
The data shown below were collected from the profiles of 123 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 30 | 24% |
| Ecuador | 6 | 5% |
| United States | 3 | 2% |
| Peru | 3 | 2% |
| Colombia | 3 | 2% |
| Comoros | 2 | 2% |
| United Kingdom | 2 | 2% |
| Chile | 2 | 2% |
| Guatemala | 1 | <1% |
| Other | 7 | 6% |
| Unknown | 64 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 114 | 93% |
| Practitioners (doctors, other healthcare professionals) | 5 | 4% |
| Scientists | 4 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 394 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 394 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 49 | 12% |
| Student > Bachelor | 49 | 12% |
| Student > Master | 36 | 9% |
| Other | 32 | 8% |
| Student > Doctoral Student | 26 | 7% |
| Other | 85 | 22% |
| Unknown | 117 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 153 | 39% |
| Nursing and Health Professions | 22 | 6% |
| Biochemistry, Genetics and Molecular Biology | 15 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 13 | 3% |
| Agricultural and Biological Sciences | 10 | 3% |
| Other | 52 | 13% |
| Unknown | 129 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 95. 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 2020.
All research outputs
#455,046
of 25,732,188 outputs
Outputs from Military Medical Research
#10
of 448 outputs
Outputs of similar age
#13,979
of 403,956 outputs
Outputs of similar age from Military Medical Research
#2
of 18 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 448 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done particularly well, scoring higher than 97% 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 403,956 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 96% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.