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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Advancing Personalized Medicine Through the Application of Whole Exome Sequencing and Big Data Analytics
|
|---|---|
| Published in |
Frontiers in Genetics, February 2019
|
| DOI | 10.3389/fgene.2019.00049 |
| Pubmed ID | |
| Authors |
Pawel Suwinski, ChuangKee Ong, Maurice H. T. Ling, Yang Ming Poh, Asif M. Khan, Hui San Ong |
X Demographics
The data shown below were collected from the profiles of 30 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 | 2 | 7% |
| Netherlands | 2 | 7% |
| United States | 2 | 7% |
| New Zealand | 1 | 3% |
| Colombia | 1 | 3% |
| India | 1 | 3% |
| Chile | 1 | 3% |
| Malaysia | 1 | 3% |
| Greece | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 17 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 67% |
| Scientists | 7 | 23% |
| Practitioners (doctors, other healthcare professionals) | 3 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 454 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 454 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 63 | 14% |
| Student > Ph. D. Student | 59 | 13% |
| Student > Master | 57 | 13% |
| Researcher | 49 | 11% |
| Other | 18 | 4% |
| Other | 62 | 14% |
| Unknown | 146 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 123 | 27% |
| Agricultural and Biological Sciences | 33 | 7% |
| Computer Science | 29 | 6% |
| Medicine and Dentistry | 29 | 6% |
| Engineering | 14 | 3% |
| Other | 65 | 14% |
| Unknown | 161 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 04 January 2023.
All research outputs
#1,178,347
of 25,364,936 outputs
Outputs from Frontiers in Genetics
#200
of 13,688 outputs
Outputs of similar age
#29,428
of 457,225 outputs
Outputs of similar age from Frontiers in Genetics
#8
of 338 outputs
Altmetric has tracked 25,364,936 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,688 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 98% 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 457,225 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 93% of its contemporaries.
We're also able to compare this research output to 338 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 97% of its contemporaries.