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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using a machine learning approach to identify key prognostic molecules for esophageal squamous cell carcinoma
|
|---|---|
| Published in |
BMC Cancer, August 2021
|
| DOI | 10.1186/s12885-021-08647-1 |
| Pubmed ID | |
| Authors |
Meng-Xiang Li, Xiao-Meng Sun, Wei-Gang Cheng, Hao-Jie Ruan, Ke Liu, Pan Chen, Hai-Jun Xu, She-Gan Gao, Xiao-Shan Feng, Yi-Jun Qi |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 11% |
| Other | 3 | 9% |
| Student > Master | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Professor | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 19 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Engineering | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Arts and Humanities | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 21 | 60% |
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 11 August 2021.
All research outputs
#17,340,991
of 25,443,857 outputs
Outputs from BMC Cancer
#4,588
of 8,995 outputs
Outputs of similar age
#266,806
of 437,451 outputs
Outputs of similar age from BMC Cancer
#94
of 219 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,995 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 38th percentile – i.e., 38% 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 437,451 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 219 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.