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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Selecting precise reference normal tissue samples for cancer research using a deep learning approach
|
|---|---|
| Published in |
BMC Medical Genomics, January 2019
|
| DOI | 10.1186/s12920-018-0463-6 |
| Pubmed ID | |
| Authors |
William Z. D. Zeng, Benjamin S. Glicksberg, Yangyan Li, Bin Chen |
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 Kingdom | 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 16% |
| Researcher | 16 | 16% |
| Student > Master | 10 | 10% |
| Student > Bachelor | 9 | 9% |
| Student > Doctoral Student | 6 | 6% |
| Other | 6 | 6% |
| Unknown | 39 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 20% |
| Agricultural and Biological Sciences | 9 | 9% |
| Medicine and Dentistry | 8 | 8% |
| Computer Science | 6 | 6% |
| Nursing and Health Professions | 3 | 3% |
| Other | 13 | 13% |
| Unknown | 43 | 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 17 February 2019.
All research outputs
#18,005,961
of 23,125,690 outputs
Outputs from BMC Medical Genomics
#805
of 1,238 outputs
Outputs of similar age
#304,684
of 437,790 outputs
Outputs of similar age from BMC Medical Genomics
#31
of 46 outputs
Altmetric has tracked 23,125,690 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 1,238 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 437,790 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 46 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.