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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Single-cell genome and transcriptome processing prior to high-throughput sequencing.
|
|---|---|
| Chapter number | 5 |
| Book title |
Mammary Stem Cells
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-2519-3_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2518-6, 978-1-4939-2519-3
|
| Authors |
Aransay, Ana M, Barcena, Laura, Gonzalez-Lahera, Aintzane, Macias-Camara, Nuria, Ana M. Aransay, Laura Barcena, Aintzane Gonzalez-Lahera, Nuria Macias-Camara, Aransay, Ana M. |
| Abstract |
Single-cell genome and transcriptome characterizations will probe to be decisive within the stem cells research, especially to describe appropriately the genetic impact of the diverse stem cells populations that are present in each organism. In the present chapter, we describe in detail how to prepare sequencing libraries out of single cells, for whole genome DNA and mRNA sequencing. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 11% |
| Unknown | 8 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 2 | 22% |
| Student > Bachelor | 1 | 11% |
| Other | 1 | 11% |
| Researcher | 1 | 11% |
| Student > Ph. D. Student | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 3 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 56% |
| Agricultural and Biological Sciences | 1 | 11% |
| Unknown | 3 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 05 June 2015.
All research outputs
#13,945,480
of 22,808,725 outputs
Outputs from Methods in molecular biology
#3,925
of 13,118 outputs
Outputs of similar age
#181,329
of 353,095 outputs
Outputs of similar age from Methods in molecular biology
#250
of 996 outputs
Altmetric has tracked 22,808,725 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,118 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 68% 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 353,095 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.