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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel analysis method for biomarker identification based on horizontal relationship: identifying potential biomarkers from large-scale hepatocellular carcinoma metabolomics data
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, August 2019
|
| DOI | 10.1007/s00216-019-02011-w |
| Pubmed ID | |
| Authors |
Benzhe Su, Ping Luo, Zhao Yang, Pei Yu, Zaifang Li, Peiyuan Yin, Lina Zhou, Jinhu Fan, Xin Huang, Xiaohui Lin, Youlin Qiao, Guowang Xu |
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% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Scientists | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 18% |
| Student > Bachelor | 3 | 18% |
| Student > Doctoral Student | 2 | 12% |
| Student > Ph. D. Student | 2 | 12% |
| Researcher | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 18% |
| Biochemistry, Genetics and Molecular Biology | 2 | 12% |
| Computer Science | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 8 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 05 November 2019.
All research outputs
#15,314,433
of 25,707,225 outputs
Outputs from Analytical & Bioanalytical Chemistry
#4,619
of 9,723 outputs
Outputs of similar age
#185,237
of 358,613 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#44
of 158 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,723 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 51% 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 358,613 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.