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X Demographics
Mendeley readers
Attention Score in Context
| Title |
InvFEST, a database integrating information of polymorphic inversions in the human genome
|
|---|---|
| Published in |
Nucleic Acids Research, November 2013
|
| DOI | 10.1093/nar/gkt1122 |
| Pubmed ID | |
| Authors |
Alexander Martínez-Fundichely, Sònia Casillas, Raquel Egea, Miquel Ràmia, Antonio Barbadilla, Lorena Pantano, Marta Puig, Mario Cáceres |
| Abstract |
The newest genomic advances have uncovered an unprecedented degree of structural variation throughout genomes, with great amounts of data accumulating rapidly. Here we introduce InvFEST (http://invfestdb.uab.cat), a database combining multiple sources of information to generate a complete catalogue of non-redundant human polymorphic inversions. Due to the complexity of this type of changes and the underlying high false-positive discovery rate, it is necessary to integrate all the available data to get a reliable estimate of the real number of inversions. InvFEST automatically merges predictions into different inversions, refines the breakpoint locations, and finds associations with genes and segmental duplications. In addition, it includes data on experimental validation, population frequency, functional effects and evolutionary history. All this information is readily accessible through a complete and user-friendly web report for each inversion. In its current version, InvFEST combines information from 34 different studies and contains 1092 candidate inversions, which are categorized based on internal scores and manual curation. Therefore, InvFEST aims to represent the most reliable set of human inversions and become a central repository to share information, guide future studies and contribute to the analysis of the functional and evolutionary impact of inversions on the human genome. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 25% |
| China | 1 | 25% |
| Spain | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 5% |
| India | 1 | 2% |
| Poland | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 59 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 32% |
| Researcher | 10 | 15% |
| Student > Bachelor | 8 | 12% |
| Student > Master | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Other | 6 | 9% |
| Unknown | 10 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 35% |
| Agricultural and Biological Sciences | 21 | 32% |
| Computer Science | 4 | 6% |
| Medicine and Dentistry | 2 | 3% |
| Immunology and Microbiology | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 11 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 29 March 2014.
All research outputs
#3,165,508
of 22,731,677 outputs
Outputs from Nucleic Acids Research
#4,335
of 26,313 outputs
Outputs of similar age
#38,252
of 302,168 outputs
Outputs of similar age from Nucleic Acids Research
#80
of 392 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26,313 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 83% 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 302,168 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 392 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.