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Mendeley readers
Attention Score in Context
| Chapter title |
LCM-Seq: A Method for Spatial Transcriptomic Profiling Using Laser Capture Microdissection Coupled with PolyA-Based RNA Sequencing
|
|---|---|
| Chapter number | 6 |
| Book title |
RNA Detection
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7213-5_6 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7212-8, 978-1-4939-7213-5
|
| Authors |
Susanne Nichterwitz, Julio Aguila Benitez, Rein Hoogstraaten, Qiaolin Deng, Eva Hedlund, Nichterwitz, Susanne, Benitez, Julio Aguila, Hoogstraaten, Rein, Deng, Qiaolin, Hedlund, Eva |
| Abstract |
LCM-seq couples laser capture microdissection of cells from frozen tissues with polyA-based RNA sequencing and is applicable to single neurons. The method utilizes off-the-shelf reagents and direct lysis of the cells without RNA purification, making it a simple and relatively cheap method with high reproducibility and sensitivity compared to previous methods. The advantage with LCM-seq is also that tissue sections are kept intact and thus the positional information of each cell is preserved. |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 24% |
| Student > Ph. D. Student | 13 | 18% |
| Student > Bachelor | 7 | 10% |
| Student > Master | 7 | 10% |
| Student > Doctoral Student | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 14 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 24% |
| Agricultural and Biological Sciences | 13 | 18% |
| Neuroscience | 10 | 14% |
| Engineering | 5 | 7% |
| Medicine and Dentistry | 2 | 3% |
| Other | 9 | 13% |
| Unknown | 16 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 September 2021.
All research outputs
#7,541,834
of 23,008,860 outputs
Outputs from Methods in molecular biology
#2,339
of 13,157 outputs
Outputs of similar age
#153,683
of 442,295 outputs
Outputs of similar age from Methods in molecular biology
#230
of 1,498 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,157 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% 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 442,295 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.