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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PAR-CLIP data indicate that Nrd1-Nab3-dependent transcription termination regulates expression of hundreds of protein coding genes in yeast
|
|---|---|
| Published in |
Genome Biology, January 2014
|
| DOI | 10.1186/gb-2014-15-1-r8 |
| Pubmed ID | |
| Authors |
Shaun Webb, Ralph D Hector, Grzegorz Kudla, Sander Granneman |
| Abstract |
Nrd1 and Nab3 are essential sequence-specific yeast RNA binding proteins that function as a heterodimer in the processing and degradation of diverse classes of RNAs. These proteins also regulate several mRNA coding genes; however, it remains unclear exactly what percentage of the mRNA component of the transcriptome these proteins control. To address this question, we used the pyCRAC software package developed in our laboratory to analyze CRAC and PAR-CLIP data for Nrd1-Nab3-RNA interactions. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| France | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| France | 1 | <1% |
| Unknown | 118 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 29% |
| Researcher | 27 | 22% |
| Student > Master | 18 | 15% |
| Student > Doctoral Student | 7 | 6% |
| Student > Bachelor | 4 | 3% |
| Other | 16 | 13% |
| Unknown | 14 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 56 | 46% |
| Agricultural and Biological Sciences | 41 | 34% |
| Immunology and Microbiology | 3 | 2% |
| Nursing and Health Professions | 1 | <1% |
| Business, Management and Accounting | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 15 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 08 January 2014.
All research outputs
#19,944,091
of 25,373,627 outputs
Outputs from Genome Biology
#4,233
of 4,467 outputs
Outputs of similar age
#233,090
of 318,504 outputs
Outputs of similar age from Genome Biology
#109
of 115 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 4th percentile – i.e., 4% of its peers scored the same or lower than it.
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 318,504 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.