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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Distinct polyadenylation landscapes of diverse human tissues revealed by a modified PA-seq strategy
|
|---|---|
| Published in |
BMC Genomics, September 2013
|
| DOI | 10.1186/1471-2164-14-615 |
| Pubmed ID | |
| Authors |
Ting Ni, Yanqin Yang, Dina Hafez, Wenjing Yang, Kurtis Kiesewetter, Yoshi Wakabayashi, Uwe Ohler, Weiqun Peng, Jun Zhu |
| Abstract |
Polyadenylation is a key regulatory step in eukaryotic gene expression and one of the major contributors of transcriptome diversity. Aberrant polyadenylation often associates with expression defects and leads to human diseases. |
X Demographics
The data shown below were collected from the profiles of 6 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 States | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Spain | 1 | 1% |
| Italy | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 69 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 32% |
| Researcher | 12 | 16% |
| Student > Master | 12 | 16% |
| Professor > Associate Professor | 6 | 8% |
| Student > Doctoral Student | 5 | 7% |
| Other | 9 | 12% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 48% |
| Biochemistry, Genetics and Molecular Biology | 20 | 27% |
| Computer Science | 5 | 7% |
| Physics and Astronomy | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 7 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 October 2013.
All research outputs
#7,896,932
of 25,374,917 outputs
Outputs from BMC Genomics
#3,432
of 11,244 outputs
Outputs of similar age
#64,967
of 210,825 outputs
Outputs of similar age from BMC Genomics
#60
of 208 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. 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 210,825 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 69% of its contemporaries.
We're also able to compare this research output to 208 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.