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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using single cell sequencing data to model the evolutionary history of a tumor
|
|---|---|
| Published in |
BMC Bioinformatics, January 2014
|
| DOI | 10.1186/1471-2105-15-27 |
| Pubmed ID | |
| Authors |
Kyung In Kim, Richard Simon |
| Abstract |
The introduction of next-generation sequencing (NGS) technology has made it possible to detect genomic alterations within tumor cells on a large scale. However, most applications of NGS show the genetic content of mixtures of cells. Recently developed single cell sequencing technology can identify variation within a single cell. Characterization of multiple samples from a tumor using single cell sequencing can potentially provide information on the evolutionary history of that tumor. This may facilitate understanding how key mutations accumulate and evolve in lineages to form a heterogeneous tumor. |
X Demographics
The data shown below were collected from the profiles of 14 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 | 5 | 36% |
| United Kingdom | 2 | 14% |
| Norway | 1 | 7% |
| Poland | 1 | 7% |
| Italy | 1 | 7% |
| Mexico | 1 | 7% |
| Unknown | 3 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 50% |
| Scientists | 7 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Germany | 2 | 2% |
| Switzerland | 1 | <1% |
| Netherlands | 1 | <1% |
| Taiwan | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Spain | 1 | <1% |
| China | 1 | <1% |
| Unknown | 116 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 28% |
| Researcher | 29 | 23% |
| Student > Master | 15 | 12% |
| Student > Bachelor | 13 | 10% |
| Professor > Associate Professor | 7 | 5% |
| Other | 16 | 13% |
| Unknown | 12 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 32% |
| Biochemistry, Genetics and Molecular Biology | 35 | 27% |
| Computer Science | 19 | 15% |
| Medicine and Dentistry | 8 | 6% |
| Mathematics | 4 | 3% |
| Other | 7 | 5% |
| Unknown | 14 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 08 July 2021.
All research outputs
#2,040,436
of 25,706,302 outputs
Outputs from BMC Bioinformatics
#428
of 7,735 outputs
Outputs of similar age
#22,724
of 322,722 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 93 outputs
Altmetric has tracked 25,706,302 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 7,735 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 94% 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 322,722 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 92% of its contemporaries.
We're also able to compare this research output to 93 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 90% of its contemporaries.