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X Demographics
Mendeley readers
Attention Score in Context
| Title |
NeoMutate: an ensemble machine learning framework for the prediction of somatic mutations in cancer
|
|---|---|
| Published in |
BMC Medical Genomics, May 2019
|
| DOI | 10.1186/s12920-019-0508-5 |
| Pubmed ID | |
| Authors |
Irantzu Anzar, Angelina Sverchkova, Richard Stratford, Trevor Clancy |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 44% |
| United Kingdom | 1 | 6% |
| Spain | 1 | 6% |
| Germany | 1 | 6% |
| France | 1 | 6% |
| Hong Kong | 1 | 6% |
| Unknown | 4 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 56% |
| Members of the public | 7 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 101 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 18% |
| Student > Ph. D. Student | 14 | 14% |
| Student > Master | 14 | 14% |
| Student > Bachelor | 7 | 7% |
| Other | 7 | 7% |
| Other | 7 | 7% |
| Unknown | 34 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 19% |
| Biochemistry, Genetics and Molecular Biology | 14 | 14% |
| Agricultural and Biological Sciences | 14 | 14% |
| Medicine and Dentistry | 7 | 7% |
| Engineering | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 38 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 30 November 2023.
All research outputs
#3,277,646
of 25,059,640 outputs
Outputs from BMC Medical Genomics
#132
of 1,379 outputs
Outputs of similar age
#66,344
of 357,738 outputs
Outputs of similar age from BMC Medical Genomics
#2
of 31 outputs
Altmetric has tracked 25,059,640 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,379 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 90% of its peers.
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 357,738 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.