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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of significant genes with poor prognosis in ovarian cancer via bioinformatical analysis
|
|---|---|
| Published in |
Journal of Ovarian Research, April 2019
|
| DOI | 10.1186/s13048-019-0508-2 |
| Pubmed ID | |
| Authors |
Hao Feng, Zhong-Yi Gu, Qin Li, Qiong-Hua Liu, Xiao-Yu Yang, Jun-Jie Zhang |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 17 | 17% |
| Student > Master | 15 | 15% |
| Student > Ph. D. Student | 9 | 9% |
| Researcher | 5 | 5% |
| Other | 4 | 4% |
| Other | 11 | 11% |
| Unknown | 38 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 22% |
| Medicine and Dentistry | 14 | 14% |
| Agricultural and Biological Sciences | 7 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 4% |
| Veterinary Science and Veterinary Medicine | 2 | 2% |
| Other | 8 | 8% |
| Unknown | 42 | 42% |
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 24 April 2019.
All research outputs
#18,679,530
of 23,144,579 outputs
Outputs from Journal of Ovarian Research
#329
of 604 outputs
Outputs of similar age
#262,864
of 349,426 outputs
Outputs of similar age from Journal of Ovarian Research
#9
of 21 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 604 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 27th percentile – i.e., 27% 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 349,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.