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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PathoScope 2.0: a complete computational framework for strain identification in environmental or clinical sequencing samples
|
|---|---|
| Published in |
Microbiome, September 2014
|
| DOI | 10.1186/2049-2618-2-33 |
| Pubmed ID | |
| Authors |
Changjin Hong, Solaiappan Manimaran, Ying Shen, Joseph F Perez-Rogers, Allyson L Byrd, Eduardo Castro-Nallar, Keith A Crandall, William Evan Johnson |
X Demographics
The data shown below were collected from the profiles of 35 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 | 10 | 29% |
| United Kingdom | 3 | 9% |
| Germany | 2 | 6% |
| New Zealand | 1 | 3% |
| Portugal | 1 | 3% |
| Denmark | 1 | 3% |
| Spain | 1 | 3% |
| India | 1 | 3% |
| Chile | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 13 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 51% |
| Scientists | 16 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 301 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 4% |
| Germany | 3 | <1% |
| Estonia | 2 | <1% |
| Ireland | 1 | <1% |
| Italy | 1 | <1% |
| Ghana | 1 | <1% |
| Colombia | 1 | <1% |
| Canada | 1 | <1% |
| Chile | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 277 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 71 | 24% |
| Student > Ph. D. Student | 66 | 22% |
| Student > Master | 29 | 10% |
| Student > Bachelor | 24 | 8% |
| Student > Doctoral Student | 17 | 6% |
| Other | 45 | 15% |
| Unknown | 49 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 106 | 35% |
| Biochemistry, Genetics and Molecular Biology | 62 | 21% |
| Computer Science | 22 | 7% |
| Medicine and Dentistry | 16 | 5% |
| Immunology and Microbiology | 13 | 4% |
| Other | 23 | 8% |
| Unknown | 59 | 20% |
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 05 August 2021.
All research outputs
#1,257,515
of 25,998,826 outputs
Outputs from Microbiome
#403
of 1,790 outputs
Outputs of similar age
#12,709
of 253,740 outputs
Outputs of similar age from Microbiome
#3
of 13 outputs
Altmetric has tracked 25,998,826 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 1,790 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.2. This one has done well, scoring higher than 77% 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 253,740 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 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.