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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MITE Tracker: an accurate approach to identify miniature inverted-repeat transposable elements in large genomes
|
|---|---|
| Published in |
BMC Bioinformatics, October 2018
|
| DOI | 10.1186/s12859-018-2376-y |
| Pubmed ID | |
| Authors |
Juan Manuel Crescente, Diego Zavallo, Marcelo Helguera, Leonardo Sebastián Vanzetti |
X Demographics
The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 11% |
| Canada | 2 | 7% |
| Argentina | 2 | 7% |
| Spain | 1 | 4% |
| Brazil | 1 | 4% |
| Russia | 1 | 4% |
| China | 1 | 4% |
| Germany | 1 | 4% |
| India | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 14 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 18 | 67% |
| Members of the public | 8 | 30% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 101 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 20% |
| Researcher | 19 | 19% |
| Student > Master | 14 | 14% |
| Student > Bachelor | 9 | 9% |
| Student > Postgraduate | 6 | 6% |
| Other | 8 | 8% |
| Unknown | 25 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 32% |
| Biochemistry, Genetics and Molecular Biology | 27 | 27% |
| Computer Science | 3 | 3% |
| Medicine and Dentistry | 3 | 3% |
| Environmental Science | 2 | 2% |
| Other | 6 | 6% |
| Unknown | 28 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 09 January 2023.
All research outputs
#2,244,817
of 25,138,857 outputs
Outputs from BMC Bioinformatics
#538
of 7,654 outputs
Outputs of similar age
#45,752
of 350,313 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 99 outputs
Altmetric has tracked 25,138,857 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,654 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 92% 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 350,313 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 86% of its contemporaries.
We're also able to compare this research output to 99 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 90% of its contemporaries.