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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Text-mining clinically relevant cancer biomarkers for curation into the CIViC database
|
|---|---|
| Published in |
Genome Medicine, December 2019
|
| DOI | 10.1186/s13073-019-0686-y |
| Pubmed ID | |
| Authors |
Jake Lever, Martin R. Jones, Arpad M. Danos, Kilannin Krysiak, Melika Bonakdar, Jasleen K. Grewal, Luka Culibrk, Obi L. Griffith, Malachi Griffith, Steven J. M. Jones |
X Demographics
The data shown below were collected from the profiles of 21 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 | 10 | 48% |
| United Kingdom | 3 | 14% |
| Canada | 2 | 10% |
| Hong Kong | 1 | 5% |
| Unknown | 5 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 71% |
| Members of the public | 5 | 24% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 129 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 13% |
| Student > Master | 15 | 12% |
| Researcher | 14 | 11% |
| Student > Bachelor | 10 | 8% |
| Other | 6 | 5% |
| Other | 22 | 17% |
| Unknown | 45 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 18% |
| Biochemistry, Genetics and Molecular Biology | 19 | 15% |
| Computer Science | 12 | 9% |
| Agricultural and Biological Sciences | 6 | 5% |
| Engineering | 3 | 2% |
| Other | 16 | 12% |
| Unknown | 50 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 13 January 2020.
All research outputs
#3,140,351
of 25,848,962 outputs
Outputs from Genome Medicine
#706
of 1,618 outputs
Outputs of similar age
#71,602
of 480,588 outputs
Outputs of similar age from Genome Medicine
#22
of 36 outputs
Altmetric has tracked 25,848,962 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,618 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has gotten more attention than average, scoring higher than 56% 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 480,588 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 85% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.