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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of differentially methylated genes in the malignant transformation of ovarian endometriosis
|
|---|---|
| Published in |
Journal of Ovarian Research, July 2014
|
| DOI | 10.1186/1757-2215-7-73 |
| Pubmed ID | |
| Authors |
Fang Ren, Dan-Bo Wang, Tong Li, Ying-Han Chen, Yan Li |
| Abstract |
Key roles for epigenetic mechanisms in tumorigenesis are well accepted, while the relationship between gene methylation and malignant transformation of ovarian endometriosis (EMS) was seldom reported. In this study, we aimed to screen for aberrantly methylated genes associated with the malignant transformation of ovarian EMS and to preliminarily verify the reliability of screened results by detecting the methylation status and protein expression of the candidate gene in a larger scale of formaldehyde-fixed and paraffin-embedded (FFPE) samples. |
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 % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 3% |
| Unknown | 38 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 18% |
| Researcher | 6 | 15% |
| Student > Doctoral Student | 3 | 8% |
| Other | 3 | 8% |
| Professor | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 12 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 26% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Computer Science | 3 | 8% |
| Agricultural and Biological Sciences | 2 | 5% |
| Nursing and Health Professions | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 16 | 41% |
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 10 October 2014.
All research outputs
#17,728,060
of 22,765,347 outputs
Outputs from Journal of Ovarian Research
#277
of 583 outputs
Outputs of similar age
#153,266
of 225,819 outputs
Outputs of similar age from Journal of Ovarian Research
#8
of 9 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 583 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 46th percentile – i.e., 46% 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 225,819 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 9 others from the same source and published within six weeks on either side of this one.