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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of sepsis mortality using metabolite biomarkers in the blood: a meta-analysis of death-related pathways and prospective validation
|
|---|---|
| Published in |
BMC Medicine, April 2020
|
| DOI | 10.1186/s12916-020-01546-5 |
| Pubmed ID | |
| Authors |
Jing Wang, Yizhu Sun, Shengnan Teng, Kefeng Li |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 18% |
| Student > Ph. D. Student | 9 | 12% |
| Student > Bachelor | 8 | 10% |
| Student > Master | 6 | 8% |
| Student > Doctoral Student | 4 | 5% |
| Other | 8 | 10% |
| Unknown | 29 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 19% |
| Biochemistry, Genetics and Molecular Biology | 12 | 15% |
| Immunology and Microbiology | 5 | 6% |
| Agricultural and Biological Sciences | 4 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 31 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 20 April 2020.
All research outputs
#22,312,396
of 24,903,209 outputs
Outputs from BMC Medicine
#3,730
of 3,886 outputs
Outputs of similar age
#324,850
of 378,535 outputs
Outputs of similar age from BMC Medicine
#89
of 91 outputs
Altmetric has tracked 24,903,209 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,886 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.3. This one is in the 1st percentile – i.e., 1% 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 378,535 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.