| Title |
Inverse correlation between Interleukin-34 and gastric cancer, a potential biomarker for prognosis
|
|---|---|
| Published in |
Cell & Bioscience, August 2020
|
| DOI | 10.1186/s13578-020-00454-8 |
| Pubmed ID | |
| Authors |
Qinghua Liu, Ying Zhang, Jiwei Zhang, Kun Tao, Brett D. Hambly, Shisan Bao |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
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 | 4 | 24% |
| Librarian | 2 | 12% |
| Student > Ph. D. Student | 2 | 12% |
| Professor | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 18% |
| Social Sciences | 2 | 12% |
| Unspecified | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Computer Science | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 6 | 35% |
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 14 September 2020.
All research outputs
#15,620,220
of 23,228,788 outputs
Outputs from Cell & Bioscience
#408
of 970 outputs
Outputs of similar age
#248,990
of 398,741 outputs
Outputs of similar age from Cell & Bioscience
#7
of 26 outputs
Altmetric has tracked 23,228,788 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 970 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 50% 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 398,741 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 26 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 65% of its contemporaries.