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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Measuring Nascent Transcripts by Nascent-seq
|
|---|---|
| Chapter number | 2 |
| Book title |
Next Generation Sequencing
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7514-3_2 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7512-9, 978-1-4939-7514-3
|
| Authors |
Fei Xavier Chen, Stacy A. Marshall, Yu Deng, Sun Tianjiao |
| Abstract |
A complete understanding of transcription and co-transcriptional RNA processing events by polymerase requires precise and robust approaches to visualize polymerase progress and quantify nascent transcripts on a genome-wide scale. Here, we present a transcriptome-wide method to measure the level of nascent transcribing RNA in a fast and unbiased manner. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 25% |
| Unspecified | 1 | 13% |
| Researcher | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 25% |
| Unspecified | 1 | 13% |
| Immunology and Microbiology | 1 | 13% |
| Unknown | 4 | 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 31 July 2018.
All research outputs
#14,086,689
of 23,011,300 outputs
Outputs from Methods in molecular biology
#3,965
of 13,157 outputs
Outputs of similar age
#232,652
of 442,319 outputs
Outputs of similar age from Methods in molecular biology
#395
of 1,498 outputs
Altmetric has tracked 23,011,300 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 13,157 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 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 442,319 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
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 gotten more attention than average, scoring higher than 71% of its contemporaries.