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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Seeing is believing: new methods for in situsingle-cell transcriptomics
|
|---|---|
| Published in |
Genome Biology, March 2014
|
| DOI | 10.1186/gb4169 |
| Pubmed ID | |
| Authors |
Gal Avital, Tamar Hashimshony, Itai Yanai |
| Abstract |
New methods employ RNA-seq to study single cells within complex tissues by in situ sequencing or mRNA capture from single photoactivated cells. |
X Demographics
The data shown below were collected from the profiles of 17 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 | 4 | 24% |
| United Kingdom | 3 | 18% |
| Netherlands | 2 | 12% |
| India | 2 | 12% |
| Canada | 1 | 6% |
| France | 1 | 6% |
| Australia | 1 | 6% |
| Unknown | 3 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 47% |
| Members of the public | 8 | 47% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| United Kingdom | 2 | 1% |
| Norway | 1 | <1% |
| Spain | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 131 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 28% |
| Researcher | 32 | 23% |
| Student > Bachelor | 10 | 7% |
| Professor | 9 | 7% |
| Student > Master | 8 | 6% |
| Other | 25 | 18% |
| Unknown | 15 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 63 | 46% |
| Biochemistry, Genetics and Molecular Biology | 28 | 20% |
| Neuroscience | 10 | 7% |
| Engineering | 6 | 4% |
| Medicine and Dentistry | 5 | 4% |
| Other | 8 | 6% |
| Unknown | 18 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 09 January 2015.
All research outputs
#1,883,058
of 25,373,627 outputs
Outputs from Genome Biology
#1,570
of 4,467 outputs
Outputs of similar age
#18,604
of 239,372 outputs
Outputs of similar age from Genome Biology
#26
of 49 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 92nd 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 64% 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 239,372 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 49 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.