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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BioMaS: a modular pipeline for Bioinformatic analysis of Metagenomic AmpliconS
|
|---|---|
| Published in |
BMC Bioinformatics, July 2015
|
| DOI | 10.1186/s12859-015-0595-z |
| Pubmed ID | |
| Authors |
Bruno Fosso, Monica Santamaria, Marinella Marzano, Daniel Alonso-Alemany, Gabriel Valiente, Giacinto Donvito, Alfonso Monaco, Pasquale Notarangelo, Graziano Pesole |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 8% |
| Israel | 1 | 8% |
| United States | 1 | 8% |
| Netherlands | 1 | 8% |
| Italy | 1 | 8% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 4 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 4 | 2% |
| France | 2 | <1% |
| Italy | 2 | <1% |
| United Kingdom | 2 | <1% |
| India | 1 | <1% |
| Canada | 1 | <1% |
| Argentina | 1 | <1% |
| Belgium | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 193 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 48 | 23% |
| Student > Ph. D. Student | 40 | 19% |
| Student > Master | 30 | 14% |
| Student > Bachelor | 27 | 13% |
| Student > Doctoral Student | 12 | 6% |
| Other | 32 | 15% |
| Unknown | 20 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 85 | 41% |
| Biochemistry, Genetics and Molecular Biology | 53 | 25% |
| Computer Science | 12 | 6% |
| Immunology and Microbiology | 8 | 4% |
| Environmental Science | 8 | 4% |
| Other | 18 | 9% |
| Unknown | 25 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 19 October 2015.
All research outputs
#5,284,655
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#1,820
of 7,763 outputs
Outputs of similar age
#60,129
of 279,263 outputs
Outputs of similar age from BMC Bioinformatics
#28
of 110 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 79th 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 76% 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 279,263 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 110 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 74% of its contemporaries.