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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MetaCHIP: community-level horizontal gene transfer identification through the combination of best-match and phylogenetic approaches
|
|---|---|
| Published in |
Microbiome, March 2019
|
| DOI | 10.1186/s40168-019-0649-y |
| Pubmed ID | |
| Authors |
Weizhi Song, Bernd Wemheuer, Shan Zhang, Kerrin Steensen, Torsten Thomas |
X Demographics
The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 4 | 16% |
| United States | 2 | 8% |
| United Kingdom | 2 | 8% |
| Netherlands | 2 | 8% |
| Germany | 1 | 4% |
| France | 1 | 4% |
| Spain | 1 | 4% |
| Denmark | 1 | 4% |
| Unknown | 11 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 64% |
| Members of the public | 9 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 162 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 24% |
| Researcher | 31 | 19% |
| Student > Master | 21 | 13% |
| Student > Postgraduate | 7 | 4% |
| Student > Bachelor | 7 | 4% |
| Other | 19 | 12% |
| Unknown | 38 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 36 | 22% |
| Agricultural and Biological Sciences | 31 | 19% |
| Immunology and Microbiology | 16 | 10% |
| Environmental Science | 8 | 5% |
| Engineering | 5 | 3% |
| Other | 16 | 10% |
| Unknown | 50 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 24 March 2019.
All research outputs
#1,868,773
of 25,711,518 outputs
Outputs from Microbiome
#698
of 1,790 outputs
Outputs of similar age
#42,219
of 368,713 outputs
Outputs of similar age from Microbiome
#32
of 59 outputs
Altmetric has tracked 25,711,518 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 1,790 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.9. This one has gotten more attention than average, scoring higher than 60% 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 368,713 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 59 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.