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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
RNA-Sequencing from Low-Input Material in Multiple Myeloma for Application in Clinical Routine
|
|---|---|
| Chapter number | 7 |
| Book title |
Multiple Myeloma
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7865-6_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7864-9, 978-1-4939-7865-6
|
| Authors |
Anja Seckinger, Tomi Bähr-Ivacevic, Vladimir Benes, Dirk Hose, Seckinger, Anja, Bähr-Ivacevic, Tomi, Benes, Vladimir, Hose, Dirk |
| Abstract |
RNA sequencing is a recently developed approach for transcriptome profiling with several advantages over gene expression profiling using DNA microarrays. Here we describe a RNA-sequencing protocol optimized for low-input analysis of total RNA from CD138+ purified plasma cells from myeloma patients which is applicable in clinical routine. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 1 | 50% |
| Unknown | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 1 | 50% |
| Unknown | 1 | 50% |
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 30 May 2018.
All research outputs
#13,922,133
of 23,081,466 outputs
Outputs from Methods in molecular biology
#3,908
of 13,201 outputs
Outputs of similar age
#227,913
of 442,597 outputs
Outputs of similar age from Methods in molecular biology
#385
of 1,499 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,201 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 69% 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 442,597 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 1,499 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.