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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The GENCODE pseudogene resource
|
|---|---|
| Published in |
Genome Biology, January 2012
|
| DOI | 10.1186/gb-2012-13-9-r51 |
| Pubmed ID | |
| Authors |
Baikang Pei, Cristina Sisu, Adam Frankish, Cédric Howald, Lukas Habegger, Xinmeng Mu, Rachel Harte, Suganthi Balasubramanian, Andrea Tanzer, Mark Diekhans, Alexandre Reymond, Tim J Hubbard, Jennifer Harrow, Mark B Gerstein |
| Abstract |
Pseudogenes have long been considered as nonfunctional genomic sequences. However, recent evidence suggests that many of them might have some form of biological activity, and the possibility of functionality has increased interest in their accurate annotation and integration with functional genomics data. |
X Demographics
The data shown below were collected from the profiles of 13 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 | 4 | 31% |
| United Kingdom | 2 | 15% |
| Sweden | 1 | 8% |
| Spain | 1 | 8% |
| Hong Kong | 1 | 8% |
| France | 1 | 8% |
| Unknown | 3 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 62% |
| Members of the public | 3 | 23% |
| Science communicators (journalists, bloggers, editors) | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 737 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 20 | 3% |
| Germany | 10 | 1% |
| United Kingdom | 6 | <1% |
| Spain | 5 | <1% |
| Sweden | 4 | <1% |
| Italy | 3 | <1% |
| Australia | 3 | <1% |
| Portugal | 2 | <1% |
| New Zealand | 2 | <1% |
| Other | 16 | 2% |
| Unknown | 666 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 191 | 26% |
| Student > Ph. D. Student | 180 | 24% |
| Student > Master | 86 | 12% |
| Student > Bachelor | 63 | 9% |
| Student > Postgraduate | 34 | 5% |
| Other | 118 | 16% |
| Unknown | 65 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 377 | 51% |
| Biochemistry, Genetics and Molecular Biology | 180 | 24% |
| Medicine and Dentistry | 32 | 4% |
| Computer Science | 29 | 4% |
| Neuroscience | 12 | 2% |
| Other | 28 | 4% |
| Unknown | 79 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 61. 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 January 2023.
All research outputs
#645,341
of 24,150,351 outputs
Outputs from Genome Biology
#438
of 4,295 outputs
Outputs of similar age
#3,653
of 251,149 outputs
Outputs of similar age from Genome Biology
#5
of 171 outputs
Altmetric has tracked 24,150,351 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,295 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one has done well, scoring higher than 89% 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 251,149 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.