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X Demographics
Mendeley readers
Attention Score in Context
| Title |
tappAS: a comprehensive computational framework for the analysis of the functional impact of differential splicing
|
|---|---|
| Published in |
Genome Biology, May 2020
|
| DOI | 10.1186/s13059-020-02028-w |
| Pubmed ID | |
| Authors |
Lorena de la Fuente, Ángeles Arzalluz-Luque, Manuel Tardáguila, Héctor del Risco, Cristina Martí, Sonia Tarazona, Pedro Salguero, Raymond Scott, Alberto Lerma, Ana Alastrue-Agudo, Pablo Bonilla, Jeremy R. B. Newman, Shunichi Kosugi, Lauren M. McIntyre, Victoria Moreno-Manzano, Ana Conesa |
X Demographics
The data shown below were collected from the profiles of 68 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 | 11 | 16% |
| Spain | 8 | 12% |
| United Kingdom | 6 | 9% |
| Germany | 5 | 7% |
| Australia | 4 | 6% |
| China | 1 | 1% |
| Hong Kong | 1 | 1% |
| Thailand | 1 | 1% |
| Venezuela, Bolivarian Republic of | 1 | 1% |
| Other | 11 | 16% |
| Unknown | 19 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 41 | 60% |
| Members of the public | 26 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 124 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 27% |
| Researcher | 29 | 23% |
| Student > Master | 15 | 12% |
| Student > Bachelor | 9 | 7% |
| Professor | 4 | 3% |
| Other | 9 | 7% |
| Unknown | 25 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 51 | 41% |
| Agricultural and Biological Sciences | 27 | 22% |
| Computer Science | 5 | 4% |
| Engineering | 3 | 2% |
| Business, Management and Accounting | 2 | 2% |
| Other | 8 | 6% |
| Unknown | 28 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 11 April 2021.
All research outputs
#1,110,041
of 25,754,670 outputs
Outputs from Genome Biology
#792
of 4,512 outputs
Outputs of similar age
#32,557
of 425,313 outputs
Outputs of similar age from Genome Biology
#23
of 71 outputs
Altmetric has tracked 25,754,670 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,512 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done well, scoring higher than 82% 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 425,313 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 92% of its contemporaries.
We're also able to compare this research output to 71 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 67% of its contemporaries.