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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Visual gene-network analysis reveals the cancer gene co-expression in human endometrial cancer
|
|---|---|
| Published in |
BMC Genomics, April 2014
|
| DOI | 10.1186/1471-2164-15-300 |
| Pubmed ID | |
| Authors |
Wei-Chun Chou, An-Lin Cheng, Marco Brotto, Chun-Yu Chuang |
| Abstract |
Endometrial cancers (ECs) are the most common form of gynecologic malignancy. Recent studies have reported that ECs reveal distinct markers for molecular pathogenesis, which in turn is linked to the various histological types of ECs. To understand further the molecular events contributing to ECs and endometrial tumorigenesis in general, a more precise identification of cancer-associated molecules and signaling networks would be useful for the detection and monitoring of malignancy, improving clinical cancer therapy, and personalization of treatments. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 1% |
| India | 1 | 1% |
| Sri Lanka | 1 | 1% |
| Taiwan | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 77 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 39% |
| Researcher | 11 | 13% |
| Student > Master | 9 | 11% |
| Other | 4 | 5% |
| Student > Doctoral Student | 3 | 4% |
| Other | 11 | 13% |
| Unknown | 13 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 33% |
| Biochemistry, Genetics and Molecular Biology | 21 | 25% |
| Medicine and Dentistry | 6 | 7% |
| Computer Science | 5 | 6% |
| Immunology and Microbiology | 3 | 4% |
| Other | 4 | 5% |
| Unknown | 17 | 20% |
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 03 February 2015.
All research outputs
#20,254,575
of 22,783,848 outputs
Outputs from BMC Genomics
#9,273
of 10,647 outputs
Outputs of similar age
#193,343
of 227,149 outputs
Outputs of similar age from BMC Genomics
#148
of 180 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,647 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 227,149 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 180 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.