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X Demographics
Mendeley readers
Attention Score in Context
| Title |
miRNAs and target genes in the blood as biomarkers for the early diagnosis of Parkinson’s disease
|
|---|---|
| Published in |
BMC Systems Biology, January 2019
|
| DOI | 10.1186/s12918-019-0680-4 |
| Pubmed ID | |
| Authors |
Xiaoting Liu, Jinhu Chen, Tianyuan Guan, Hui Yao, Wenpei Zhang, Zhenlong Guan, Yanqin Wang |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Korea, Republic of | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 23% |
| Student > Master | 8 | 21% |
| Student > Bachelor | 5 | 13% |
| Student > Doctoral Student | 3 | 8% |
| Professor | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 11 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 8 | 21% |
| Biochemistry, Genetics and Molecular Biology | 6 | 15% |
| Nursing and Health Professions | 2 | 5% |
| Engineering | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 16 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 25 January 2019.
All research outputs
#2,682,645
of 23,124,001 outputs
Outputs from BMC Systems Biology
#70
of 1,144 outputs
Outputs of similar age
#65,058
of 438,136 outputs
Outputs of similar age from BMC Systems Biology
#3
of 43 outputs
Altmetric has tracked 23,124,001 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,144 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 93% 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 438,136 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 85% of its contemporaries.
We're also able to compare this research output to 43 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 93% of its contemporaries.