RNA Bioinformatics
Springer US
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Single-Cell RNA Sequencing Analysis: A Step-by-Step Overview
|
|---|---|
| Chapter number | 19 |
| Book title |
RNA Bioinformatics
|
| Published in |
Methods in molecular biology, April 2021
|
| DOI | 10.1007/978-1-0716-1307-8_19 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-161306-1, 978-1-07-161307-8
|
| Authors |
Shaked Slovin, Annamaria Carissimo, Francesco Panariello, Antonio Grimaldi, Valentina Bouché, Gennaro Gambardella, Davide Cacchiarelli, Slovin, Shaked, Carissimo, Annamaria, Panariello, Francesco, Grimaldi, Antonio, Bouché, Valentina, Gambardella, Gennaro, Cacchiarelli, Davide |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 3 | 18% |
| United States | 1 | 6% |
| Austria | 1 | 6% |
| France | 1 | 6% |
| Unknown | 11 | 65% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 59% |
| Scientists | 7 | 41% |
Mendeley readers
The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 162 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 17% |
| Student > Bachelor | 15 | 9% |
| Researcher | 14 | 9% |
| Student > Master | 11 | 7% |
| Other | 5 | 3% |
| Other | 10 | 6% |
| Unknown | 79 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 31 | 19% |
| Agricultural and Biological Sciences | 9 | 6% |
| Neuroscience | 9 | 6% |
| Immunology and Microbiology | 7 | 4% |
| Medicine and Dentistry | 6 | 4% |
| Other | 17 | 10% |
| Unknown | 83 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 01 December 2023.
All research outputs
#1,237,794
of 26,004,690 outputs
Outputs from Methods in molecular biology
#118
of 14,503 outputs
Outputs of similar age
#33,514
of 459,937 outputs
Outputs of similar age from Methods in molecular biology
#1
of 316 outputs
Altmetric has tracked 26,004,690 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 14,503 research outputs from this source. They receive a mean Attention Score of 3.5. 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 459,937 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 316 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 99% of its contemporaries.