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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Next Generation-Targeted Amplicon Sequencing (NG-TAS): an optimised protocol and computational pipeline for cost-effective profiling of circulating tumour DNA
|
|---|---|
| Published in |
Genome Medicine, January 2019
|
| DOI | 10.1186/s13073-018-0611-9 |
| Pubmed ID | |
| Authors |
Meiling Gao, Maurizio Callari, Emma Beddowes, Stephen-John Sammut, Marta Grzelak, Heather Biggs, Linda Jones, Abdelhamid Boumertit, Sabine C. Linn, Javier Cortes, Mafalda Oliveira, Richard Baird, Suet-Feung Chin, Carlos Caldas |
X Demographics
The data shown below were collected from the profiles of 32 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 Kingdom | 13 | 41% |
| Spain | 2 | 6% |
| India | 1 | 3% |
| Mexico | 1 | 3% |
| Russia | 1 | 3% |
| United States | 1 | 3% |
| China | 1 | 3% |
| Germany | 1 | 3% |
| Italy | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 10 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 50% |
| Members of the public | 15 | 47% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 115 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 21% |
| Other | 11 | 10% |
| Student > Ph. D. Student | 10 | 9% |
| Student > Bachelor | 10 | 9% |
| Professor | 4 | 3% |
| Other | 15 | 13% |
| Unknown | 41 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 20% |
| Medicine and Dentistry | 19 | 17% |
| Agricultural and Biological Sciences | 10 | 9% |
| Social Sciences | 3 | 3% |
| Immunology and Microbiology | 2 | 2% |
| Other | 12 | 10% |
| Unknown | 46 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 01 April 2020.
All research outputs
#1,813,792
of 25,223,158 outputs
Outputs from Genome Medicine
#406
of 1,560 outputs
Outputs of similar age
#40,891
of 449,626 outputs
Outputs of similar age from Genome Medicine
#10
of 25 outputs
Altmetric has tracked 25,223,158 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,560 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has gotten more attention than average, scoring higher than 73% 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 449,626 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.