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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Laniakea@ReCaS: exploring the potential of customisable Galaxy on-demand instances as a cloud-based service
|
|---|---|
| Published in |
BMC Bioinformatics, November 2021
|
| DOI | 10.1186/s12859-021-04401-3 |
| Pubmed ID | |
| Authors |
Marco Antonio Tangaro, Pietro Mandreoli, Matteo Chiara, Giacinto Donvito, Marica Antonacci, Antonio Parisi, Angelica Bianco, Angelo Romano, Daniela Manila Bianchi, Davide Cangelosi, Paolo Uva, Ivan Molineris, Vladimir Nosi, Raffaele A. Calogero, Luca Alessandri, Elena Pedrini, Marina Mordenti, Emanuele Bonetti, Luca Sangiorgi, Graziano Pesole, Federico Zambelli |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 3 | 27% |
| United States | 1 | 9% |
| United Kingdom | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Scientists | 3 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 18% |
| Student > Master | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 15 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 12% |
| Veterinary Science and Veterinary Medicine | 2 | 6% |
| Psychology | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Social Sciences | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 16 | 48% |
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 07 February 2022.
All research outputs
#4,923,286
of 24,514,423 outputs
Outputs from BMC Bioinformatics
#1,759
of 7,548 outputs
Outputs of similar age
#104,226
of 432,887 outputs
Outputs of similar age from BMC Bioinformatics
#55
of 169 outputs
Altmetric has tracked 24,514,423 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 7,548 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 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 432,887 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 75% of its contemporaries.
We're also able to compare this research output to 169 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 68% of its contemporaries.