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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Spatial Transcriptomics: Constructing a Single-Cell Resolution Transcriptome-Wide Expression Atlas
|
|---|---|
| Chapter number | 7 |
| Book title |
RNA Detection
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7213-5_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7212-8, 978-1-4939-7213-5
|
| Authors |
Kaia Achim, Hernando Martínez Vergara, Jean-Baptiste Pettit |
| Abstract |
The method described here aims at the construction of a single-cell resolution gene expression atlas for an animal or tissue, combining in situ hybridization (ISH) and single-cell mRNA-sequencing (scRNAseq).A high resolution and medium-coverage gene expression atlas of an animal or tissue of interest can be obtained by performing a series of ISH experiments, followed by a process of image registration and gene expression averaging. Using the overlapping fraction of the genes, concomitantly obtained scRNAseq data can be fitted into the spatial context of the gene expression atlas, complementing the coverage by genes. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 30% |
| Israel | 1 | 10% |
| Germany | 1 | 10% |
| Spain | 1 | 10% |
| Austria | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 50% |
| Members of the public | 5 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 15% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Bachelor | 4 | 10% |
| Student > Master | 4 | 10% |
| Other | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 12 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 31% |
| Agricultural and Biological Sciences | 7 | 18% |
| Medicine and Dentistry | 3 | 8% |
| Chemistry | 2 | 5% |
| Physics and Astronomy | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 12 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 19 November 2017.
All research outputs
#5,477,538
of 22,912,409 outputs
Outputs from Methods in molecular biology
#1,487
of 13,131 outputs
Outputs of similar age
#107,986
of 441,468 outputs
Outputs of similar age from Methods in molecular biology
#134
of 1,497 outputs
Altmetric has tracked 22,912,409 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,131 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 88% 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 441,468 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 1,497 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.