You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Statistical measures of transcriptional diversity capture genomic heterogeneity of cancer
|
|---|---|
| Published in |
BMC Genomics, October 2014
|
| DOI | 10.1186/1471-2164-15-876 |
| Pubmed ID | |
| Authors |
Tingting Jiang, Weiwei Shi, René Natowicz, Sophia N Ononye, Vikram B Wali, Yuval Kluger, Lajos Pusztai, Christos Hatzis |
| Abstract |
Molecular heterogeneity of tumors suggests the presence of multiple different subclones that may limit response to targeted therapies and contribute to acquisition of drug resistance, but its quantification has remained challenging. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 7% |
| United Kingdom | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 39 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 25% |
| Student > Master | 5 | 11% |
| Student > Ph. D. Student | 5 | 11% |
| Professor > Associate Professor | 4 | 9% |
| Other | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 12 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 23% |
| Agricultural and Biological Sciences | 9 | 20% |
| Medicine and Dentistry | 4 | 9% |
| Computer Science | 3 | 7% |
| Psychology | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 13 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 October 2014.
All research outputs
#14,786,597
of 22,766,595 outputs
Outputs from BMC Genomics
#6,129
of 10,639 outputs
Outputs of similar age
#140,797
of 255,128 outputs
Outputs of similar age from BMC Genomics
#105
of 208 outputs
Altmetric has tracked 22,766,595 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,639 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 255,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 208 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.