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X Demographics
Mendeley readers
Attention Score in Context
Title |
Single Cell Transcriptomics: Methods and Applications
|
---|---|
Published in |
Frontiers in oncology, March 2015
|
DOI | 10.3389/fonc.2015.00053 |
Pubmed ID | |
Authors |
Itamar Kanter, Tomer Kalisky |
Abstract |
Traditionally, gene expression measurements were performed on "bulk" samples containing populations of thousands of cells. Recent advances in genomic technology have made it possible to measure gene expression in hundreds of individual cells at a time. As a result, cellular properties that were previously masked in "bulk" measurements can now be observed directly. In this review, we will survey emerging technologies for single cell transcriptomics, and describe how they are used to study complex disease such as cancer, as well as other biological phenomena such as tissue regeneration, embryonic development, and immune response. |
X Demographics
The data shown below were collected from the profiles of 12 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 | 3 | 25% |
Denmark | 1 | 8% |
Norway | 1 | 8% |
Spain | 1 | 8% |
Sweden | 1 | 8% |
Unknown | 5 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 75% |
Scientists | 3 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | <1% |
Brazil | 2 | <1% |
United Kingdom | 2 | <1% |
Sweden | 2 | <1% |
Germany | 1 | <1% |
Turkey | 1 | <1% |
Denmark | 1 | <1% |
New Zealand | 1 | <1% |
Spain | 1 | <1% |
Other | 1 | <1% |
Unknown | 265 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 70 | 25% |
Student > Master | 50 | 18% |
Researcher | 45 | 16% |
Student > Bachelor | 25 | 9% |
Student > Doctoral Student | 17 | 6% |
Other | 35 | 13% |
Unknown | 37 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 100 | 36% |
Biochemistry, Genetics and Molecular Biology | 68 | 24% |
Medicine and Dentistry | 12 | 4% |
Neuroscience | 9 | 3% |
Immunology and Microbiology | 9 | 3% |
Other | 35 | 13% |
Unknown | 46 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 20 January 2024.
All research outputs
#1,095,822
of 25,371,288 outputs
Outputs from Frontiers in oncology
#181
of 22,414 outputs
Outputs of similar age
#13,716
of 274,324 outputs
Outputs of similar age from Frontiers in oncology
#2
of 92 outputs
Altmetric has tracked 25,371,288 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 22,414 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 99% 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 274,324 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 92 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 97% of its contemporaries.