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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantification of cell identity from single-cell gene expression profiles
|
|---|---|
| Published in |
Genome Biology, January 2015
|
| DOI | 10.1186/s13059-015-0580-x |
| Pubmed ID | |
| Authors |
Idan Efroni, Pui-Leng Ip, Tal Nawy, Alison Mello, Kenneth D Birnbaum |
| Abstract |
The definition of cell identity is a central problem in biology. While single-cell RNA-seq provides a wealth of information regarding cell states, better methods are needed to map their identity, especially during developmental transitions. Here, we use repositories of cell type-specific transcriptomes to quantify identities from single-cell RNA-seq profiles, accurately classifying cells from Arabidopsis root tips and human glioblastoma tumors. We apply our approach to single cells captured from regenerating roots following tip excision. Our technique exposes a previously uncharacterized transient collapse of identity distant from the injury site, demonstrating the biological relevance of a quantitative cell identity index. |
X Demographics
The data shown below were collected from the profiles of 25 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 | 6 | 24% |
| India | 3 | 12% |
| France | 2 | 8% |
| Australia | 1 | 4% |
| China | 1 | 4% |
| Peru | 1 | 4% |
| United Kingdom | 1 | 4% |
| Switzerland | 1 | 4% |
| Germany | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 48% |
| Scientists | 11 | 44% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 280 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | <1% |
| United States | 2 | <1% |
| Chile | 1 | <1% |
| Switzerland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 272 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 69 | 25% |
| Researcher | 54 | 19% |
| Student > Master | 26 | 9% |
| Student > Postgraduate | 20 | 7% |
| Student > Bachelor | 15 | 5% |
| Other | 51 | 18% |
| Unknown | 45 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 128 | 46% |
| Biochemistry, Genetics and Molecular Biology | 62 | 22% |
| Computer Science | 13 | 5% |
| Neuroscience | 6 | 2% |
| Medicine and Dentistry | 5 | 2% |
| Other | 17 | 6% |
| Unknown | 49 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 May 2016.
All research outputs
#2,437,377
of 25,373,627 outputs
Outputs from Genome Biology
#1,979
of 4,467 outputs
Outputs of similar age
#33,075
of 359,647 outputs
Outputs of similar age from Genome Biology
#40
of 70 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 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 gotten more attention than average, scoring higher than 55% 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 359,647 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 90% of its contemporaries.
We're also able to compare this research output to 70 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.