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X Demographics
Mendeley readers
Attention Score in Context
| Title |
FunMappOne: a tool to hierarchically organize and visually navigate functional gene annotations in multiple experiments
|
|---|---|
| Published in |
BMC Bioinformatics, February 2019
|
| DOI | 10.1186/s12859-019-2639-2 |
| Pubmed ID | |
| Authors |
Giovanni Scala, Angela Serra, Veer Singh Marwah, Laura Aliisa Saarimäki, Dario Greco |
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 % |
|---|---|---|
| Finland | 3 | 23% |
| United Kingdom | 2 | 15% |
| Japan | 1 | 8% |
| United States | 1 | 8% |
| Cyprus | 1 | 8% |
| Germany | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 62% |
| Members of the public | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 24% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Master | 7 | 14% |
| Student > Bachelor | 6 | 12% |
| Student > Doctoral Student | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 11 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 21 | 42% |
| Agricultural and Biological Sciences | 6 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 8% |
| Environmental Science | 2 | 4% |
| Chemistry | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 14 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 22 February 2019.
All research outputs
#4,353,664
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#1,489
of 7,763 outputs
Outputs of similar age
#99,709
of 479,303 outputs
Outputs of similar age from BMC Bioinformatics
#40
of 164 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 80% 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 479,303 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 78% of its contemporaries.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.