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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Targeted high throughput sequencing in clinical cancer Settings: formaldehyde fixed-paraffin embedded (FFPE) tumor tissues, input amount and tumor heterogeneity
|
|---|---|
| Published in |
BMC Medical Genomics, September 2011
|
| DOI | 10.1186/1755-8794-4-68 |
| Pubmed ID | |
| Authors |
Martin Kerick, Melanie Isau, Bernd Timmermann, Holger Sültmann, Ralf Herwig, Sylvia Krobitsch, Georg Schaefer, Irmgard Verdorfer, Georg Bartsch, Helmut Klocker, Hans Lehrach, Michal R Schweiger |
| Abstract |
Massively parallel sequencing technologies have brought an enormous increase in sequencing throughput. However, these technologies need to be further improved with regard to reproducibility and applicability to clinical samples and settings. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| United Kingdom | 2 | <1% |
| Denmark | 2 | <1% |
| Netherlands | 1 | <1% |
| Argentina | 1 | <1% |
| Germany | 1 | <1% |
| Belgium | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Nigeria | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 196 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 66 | 31% |
| Student > Ph. D. Student | 35 | 17% |
| Student > Master | 23 | 11% |
| Other | 20 | 10% |
| Student > Bachelor | 12 | 6% |
| Other | 30 | 14% |
| Unknown | 24 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 90 | 43% |
| Biochemistry, Genetics and Molecular Biology | 38 | 18% |
| Medicine and Dentistry | 34 | 16% |
| Computer Science | 7 | 3% |
| Engineering | 4 | 2% |
| Other | 11 | 5% |
| Unknown | 26 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 11 October 2018.
All research outputs
#6,375,151
of 22,653,392 outputs
Outputs from BMC Medical Genomics
#289
of 1,211 outputs
Outputs of similar age
#37,473
of 131,769 outputs
Outputs of similar age from BMC Medical Genomics
#4
of 5 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,211 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 74% 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 131,769 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.