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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MetaTOR: A Computational Pipeline to Recover High-Quality Metagenomic Bins From Mammalian Gut Proximity-Ligation (meta3C) Libraries
|
|---|---|
| Published in |
Frontiers in Genetics, August 2019
|
| DOI | 10.3389/fgene.2019.00753 |
| Pubmed ID | |
| Authors |
Lyam Baudry, Théo Foutel-Rodier, Agnès Thierry, Romain Koszul, Martial Marbouty |
X Demographics
The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 9 | 30% |
| Germany | 2 | 7% |
| Switzerland | 2 | 7% |
| Australia | 2 | 7% |
| Japan | 1 | 3% |
| United Kingdom | 1 | 3% |
| Netherlands | 1 | 3% |
| Denmark | 1 | 3% |
| United States | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 18 | 60% |
| Members of the public | 12 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 27% |
| Researcher | 7 | 15% |
| Student > Master | 7 | 15% |
| Other | 3 | 6% |
| Professor | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 11 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 29% |
| Agricultural and Biological Sciences | 13 | 27% |
| Immunology and Microbiology | 3 | 6% |
| Environmental Science | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 11 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 11 October 2021.
All research outputs
#1,976,165
of 25,080,267 outputs
Outputs from Frontiers in Genetics
#433
of 13,489 outputs
Outputs of similar age
#40,003
of 348,403 outputs
Outputs of similar age from Frontiers in Genetics
#14
of 274 outputs
Altmetric has tracked 25,080,267 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,489 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 96% 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 348,403 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 88% of its contemporaries.
We're also able to compare this research output to 274 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 95% of its contemporaries.