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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An assessment of clinician and researcher needs for support in the era of genomic medicine
|
|---|---|
| Published in |
Personalized Medicine, August 2014
|
| DOI | 10.2217/pme.14.48 |
| Pubmed ID | |
| Authors |
Sarah K Savage, Sonja I Ziniel, Joan Stoler, David M Margulies, Ingrid A Holm, Catherine A Brownstein |
| Abstract |
To assess clinicians' and researchers' past, current and anticipated future use of next-generation sequencing (NGS) and anticipated needs for support. Materials & methods: A web-based survey was conducted at Boston Children's Hospital. Many clinicians anticipate that they will use exome/genome sequencing (44.8%) and/or candidate gene panels (50%) within the next year. Researcher respondents anticipate the need for exome/genome sequencing (48.0%) and candidate gene panels (31.8%). Few respondents (13.6%) said that they felt 'Completely Ready' or 'Pretty Much Ready' to incorporate NGS into their clinical practice or research. Researchers and clinicians anticipate increased utilization of NGS. Respondents indicated varying degrees of need for a diverse list of support services, ranking interpretation and clinical correlation support as the most needed services. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Israel | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 20% |
| Student > Ph. D. Student | 1 | 20% |
| Student > Postgraduate | 1 | 20% |
| Student > Master | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Philosophy | 1 | 20% |
| Biochemistry, Genetics and Molecular Biology | 1 | 20% |
| Computer Science | 1 | 20% |
| Neuroscience | 1 | 20% |
| Unknown | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 14 October 2014.
All research outputs
#17,298,896
of 25,393,528 outputs
Outputs from Personalized Medicine
#353
of 557 outputs
Outputs of similar age
#143,262
of 240,232 outputs
Outputs of similar age from Personalized Medicine
#13
of 23 outputs
Altmetric has tracked 25,393,528 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 557 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 240,232 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.