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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The bio.tools registry of software tools and data resources for the life sciences
|
|---|---|
| Published in |
Genome Biology, August 2019
|
| DOI | 10.1186/s13059-019-1772-6 |
| Pubmed ID | |
| Authors |
Jon Ison, Hans Ienasescu, Piotr Chmura, Emil Rydza, Hervé Ménager, Matúš Kalaš, Veit Schwämmle, Björn Grüning, Niall Beard, Rodrigo Lopez, Severine Duvaud, Heinz Stockinger, Bengt Persson, Radka Svobodová Vařeková, Tomáš Raček, Jiří Vondrášek, Hedi Peterson, Ahto Salumets, Inge Jonassen, Rob Hooft, Tommi Nyrönen, Alfonso Valencia, Salvador Capella, Josep Gelpí, Federico Zambelli, Babis Savakis, Brane Leskošek, Kristoffer Rapacki, Christophe Blanchet, Rafael Jimenez, Arlindo Oliveira, Gert Vriend, Olivier Collin, Jacques van Helden, Peter Løngreen, Søren Brunak |
X Demographics
The data shown below were collected from the profiles of 96 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 | 14 | 15% |
| United States | 9 | 9% |
| Spain | 8 | 8% |
| Australia | 7 | 7% |
| France | 3 | 3% |
| Luxembourg | 3 | 3% |
| Canada | 3 | 3% |
| Germany | 2 | 2% |
| Estonia | 2 | 2% |
| Other | 19 | 20% |
| Unknown | 26 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 48 | 50% |
| Scientists | 42 | 44% |
| Practitioners (doctors, other healthcare professionals) | 3 | 3% |
| Science communicators (journalists, bloggers, editors) | 3 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 22% |
| Student > Ph. D. Student | 10 | 16% |
| Professor | 7 | 11% |
| Student > Master | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 21 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 31% |
| Computer Science | 9 | 14% |
| Agricultural and Biological Sciences | 7 | 11% |
| Engineering | 2 | 3% |
| Immunology and Microbiology | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 23 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 63. 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 21 October 2019.
All research outputs
#678,896
of 25,385,509 outputs
Outputs from Genome Biology
#430
of 4,470 outputs
Outputs of similar age
#14,293
of 354,607 outputs
Outputs of similar age from Genome Biology
#10
of 68 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 90% 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 354,607 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.