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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ViromeScan: a new tool for metagenomic viral community profiling
|
|---|---|
| Published in |
BMC Genomics, March 2016
|
| DOI | 10.1186/s12864-016-2446-3 |
| Pubmed ID | |
| Authors |
Simone Rampelli, Matteo Soverini, Silvia Turroni, Sara Quercia, Elena Biagi, Patrizia Brigidi, Marco Candela |
X Demographics
The data shown below were collected from the profiles of 32 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 States | 7 | 22% |
| France | 4 | 13% |
| United Kingdom | 1 | 3% |
| Australia | 1 | 3% |
| Venezuela, Bolivarian Republic of | 1 | 3% |
| Oman | 1 | 3% |
| Mexico | 1 | 3% |
| Unknown | 16 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 18 | 56% |
| Members of the public | 14 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 378 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 1% |
| Brazil | 2 | <1% |
| Germany | 1 | <1% |
| South Africa | 1 | <1% |
| India | 1 | <1% |
| Italy | 1 | <1% |
| Peru | 1 | <1% |
| Canada | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 363 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 84 | 22% |
| Researcher | 75 | 20% |
| Student > Master | 52 | 14% |
| Student > Bachelor | 38 | 10% |
| Student > Doctoral Student | 17 | 4% |
| Other | 54 | 14% |
| Unknown | 58 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 133 | 35% |
| Biochemistry, Genetics and Molecular Biology | 81 | 21% |
| Immunology and Microbiology | 26 | 7% |
| Computer Science | 18 | 5% |
| Medicine and Dentistry | 16 | 4% |
| Other | 32 | 8% |
| Unknown | 72 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 27 February 2019.
All research outputs
#1,273,785
of 25,813,008 outputs
Outputs from BMC Genomics
#200
of 11,331 outputs
Outputs of similar age
#20,863
of 313,562 outputs
Outputs of similar age from BMC Genomics
#5
of 214 outputs
Altmetric has tracked 25,813,008 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,331 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 98% 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 313,562 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 93% of its contemporaries.
We're also able to compare this research output to 214 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.