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X Demographics
Mendeley readers
Attention Score in Context
Title |
Integration of GWAS and eQTL Analysis to Identify Risk Loci and Susceptibility Genes for Gastric Cancer
|
---|---|
Published in |
Frontiers in Genetics, July 2020
|
DOI | 10.3389/fgene.2020.00679 |
Pubmed ID | |
Authors |
Jing Ni, Bin Deng, Meng Zhu, Yuzhuo Wang, Caiwang Yan, Tianpei Wang, Yaqian Liu, Gang Li, Yanbing Ding, Guangfu Jin |
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 % |
---|---|---|
Ireland | 1 | 33% |
Switzerland | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 26% |
Student > Master | 3 | 13% |
Lecturer | 1 | 4% |
Student > Doctoral Student | 1 | 4% |
Other | 1 | 4% |
Other | 4 | 17% |
Unknown | 7 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 5 | 22% |
Biochemistry, Genetics and Molecular Biology | 4 | 17% |
Medicine and Dentistry | 3 | 13% |
Computer Science | 2 | 9% |
Immunology and Microbiology | 1 | 4% |
Other | 1 | 4% |
Unknown | 7 | 30% |
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 06 August 2020.
All research outputs
#15,618,818
of 23,223,705 outputs
Outputs from Frontiers in Genetics
#5,555
of 12,257 outputs
Outputs of similar age
#248,112
of 397,208 outputs
Outputs of similar age from Frontiers in Genetics
#178
of 408 outputs
Altmetric has tracked 23,223,705 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 12,257 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 49th percentile – i.e., 49% 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 397,208 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 408 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.