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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Frugal alignment-free identification of FLT3-internal tandem duplications with FiLT3r
|
|---|---|
| Published in |
BMC Bioinformatics, October 2022
|
| DOI | 10.1186/s12859-022-04983-6 |
| Pubmed ID | |
| Authors |
Augustin Boudry, Sasha Darmon, Nicolas Duployez, Martin Figeac, Sandrine Geffroy, Maxime Bucci, Karine Celli-Lebras, Matthieu Duchmann, Romane Joudinaud, Laurène Fenwarth, Olivier Nibourel, Laure Goursaud, Raphael Itzykson, Hervé Dombret, Mathilde Hunault, Claude Preudhomme, Mikaël Salson |
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 Kingdom | 1 | 17% |
| Sweden | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 40% |
| Researcher | 1 | 20% |
| Professor | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 40% |
| Social Sciences | 1 | 20% |
| Medicine and Dentistry | 1 | 20% |
| Unknown | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 30 October 2022.
All research outputs
#13,057,517
of 23,006,268 outputs
Outputs from BMC Bioinformatics
#3,809
of 7,312 outputs
Outputs of similar age
#159,677
of 440,548 outputs
Outputs of similar age from BMC Bioinformatics
#72
of 173 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,312 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 440,548 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 62% of its contemporaries.
We're also able to compare this research output to 173 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 56% of its contemporaries.