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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Rapid diagnosis and comprehensive bacteria profiling of sepsis based on cell-free DNA
|
|---|---|
| Published in |
Journal of Translational Medicine, January 2020
|
| DOI | 10.1186/s12967-019-02186-x |
| Pubmed ID | |
| Authors |
Pei Chen, Shuo Li, Wenyuan Li, Jie Ren, Fengzhu Sun, Rui Liu, Xianghong Jasmine Zhou |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 14% |
| Student > Ph. D. Student | 6 | 12% |
| Student > Bachelor | 5 | 10% |
| Student > Master | 3 | 6% |
| Unspecified | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 23 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 12% |
| Agricultural and Biological Sciences | 6 | 12% |
| Medicine and Dentistry | 5 | 10% |
| Immunology and Microbiology | 5 | 10% |
| Unspecified | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 21 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 01 July 2022.
All research outputs
#3,096,315
of 23,989,683 outputs
Outputs from Journal of Translational Medicine
#516
of 4,251 outputs
Outputs of similar age
#73,202
of 462,175 outputs
Outputs of similar age from Journal of Translational Medicine
#13
of 87 outputs
Altmetric has tracked 23,989,683 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,251 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 87% 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 462,175 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 84% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.