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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A data science approach for the classification of low-grade and high-grade ovarian serous carcinomas
|
|---|---|
| Published in |
BMC Genomics, November 2018
|
| DOI | 10.1186/s12864-018-5177-9 |
| Pubmed ID | |
| Authors |
Sangdi Lin, Chen Wang, Shabnam Zarei, Debra A. Bell, Sarah E. Kerr, George C. Runger, Jean-Pierre A. Kocher |
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 | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 16% |
| Lecturer | 2 | 8% |
| Researcher | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 12 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 12% |
| Agricultural and Biological Sciences | 3 | 12% |
| Computer Science | 3 | 12% |
| Medicine and Dentistry | 2 | 8% |
| Engineering | 2 | 8% |
| Other | 0 | 0% |
| Unknown | 12 | 48% |
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 15 December 2018.
All research outputs
#17,998,207
of 23,114,117 outputs
Outputs from BMC Genomics
#7,609
of 10,708 outputs
Outputs of similar age
#305,855
of 438,033 outputs
Outputs of similar age from BMC Genomics
#130
of 224 outputs
Altmetric has tracked 23,114,117 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 10,708 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 438,033 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 224 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.