| Title |
A systematic approach to the reporting of medically relevant findings from whole genome sequencing
|
|---|---|
| Published in |
BMC Medical Genomics, December 2014
|
| DOI | 10.1186/s12881-014-0134-1 |
| Pubmed ID | |
| Authors |
Heather M McLaughlin, Ozge Ceyhan-Birsoy, Kurt D Christensen, Isaac S Kohane, Joel Krier, William J Lane, Denise Lautenbach, Matthew S Lebo, Kalotina Machini, Calum A MacRae, Danielle R Azzariti, Michael F Murray, Christine E Seidman, Jason L Vassy, Robert C Green, Heidi L Rehm, for The MedSeq Project |
X Demographics
The data shown below were collected from the profiles of 18 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 | 4 | 22% |
| United Kingdom | 4 | 22% |
| Hong Kong | 1 | 6% |
| Spain | 1 | 6% |
| France | 1 | 6% |
| Unknown | 7 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 50% |
| Members of the public | 5 | 28% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 114 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 20% |
| Other | 16 | 13% |
| Student > Ph. D. Student | 13 | 11% |
| Student > Master | 10 | 8% |
| Student > Bachelor | 10 | 8% |
| Other | 23 | 19% |
| Unknown | 23 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 25% |
| Biochemistry, Genetics and Molecular Biology | 29 | 24% |
| Agricultural and Biological Sciences | 22 | 18% |
| Computer Science | 3 | 3% |
| Social Sciences | 3 | 3% |
| Other | 7 | 6% |
| Unknown | 25 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 26 December 2019.
All research outputs
#1,226,667
of 26,017,215 outputs
Outputs from BMC Medical Genomics
#38
of 2,466 outputs
Outputs of similar age
#15,687
of 367,641 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 37 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,466 research outputs from this source. They receive a mean Attention Score of 4.5. 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 367,641 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 95% of its contemporaries.
We're also able to compare this research output to 37 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.