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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cancer genomics: one cell at a time
|
|---|---|
| Published in |
Genome Biology, August 2014
|
| DOI | 10.1186/s13059-014-0452-9 |
| Pubmed ID | |
| Authors |
Nicholas E Navin |
| Abstract |
The study of single cancer cells has transformed from qualitative microscopic images to quantitative genomic datasets. This paradigm shift has been fueled by the development of single-cell sequencing technologies, which provide a powerful new approach to study complex biological processes in human cancers. |
X Demographics
The data shown below were collected from the profiles of 63 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 | 21 | 33% |
| United Kingdom | 11 | 17% |
| Switzerland | 2 | 3% |
| India | 2 | 3% |
| Australia | 2 | 3% |
| Austria | 1 | 2% |
| Canada | 1 | 2% |
| Belgium | 1 | 2% |
| Saudi Arabia | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 16 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 52% |
| Scientists | 28 | 44% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 515 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 2% |
| Germany | 3 | <1% |
| United Kingdom | 3 | <1% |
| Denmark | 2 | <1% |
| Netherlands | 2 | <1% |
| France | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Italy | 1 | <1% |
| Norway | 1 | <1% |
| Other | 8 | 2% |
| Unknown | 481 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 131 | 25% |
| Researcher | 125 | 24% |
| Student > Bachelor | 62 | 12% |
| Student > Master | 46 | 9% |
| Student > Postgraduate | 22 | 4% |
| Other | 75 | 15% |
| Unknown | 54 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 184 | 36% |
| Biochemistry, Genetics and Molecular Biology | 129 | 25% |
| Medicine and Dentistry | 39 | 8% |
| Computer Science | 28 | 5% |
| Engineering | 24 | 5% |
| Other | 46 | 9% |
| Unknown | 65 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 18 August 2016.
All research outputs
#1,047,250
of 26,094,193 outputs
Outputs from Genome Biology
#734
of 4,560 outputs
Outputs of similar age
#10,131
of 249,403 outputs
Outputs of similar age from Genome Biology
#9
of 103 outputs
Altmetric has tracked 26,094,193 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,560 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 83% 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 249,403 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 103 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 91% of its contemporaries.