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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Metagenomics-Based, Strain-Level Analysis of Escherichia coli From a Time-Series of Microbiome Samples From a Crohn's Disease Patient
|
|---|---|
| Published in |
Frontiers in Microbiology, October 2018
|
| DOI | 10.3389/fmicb.2018.02559 |
| Pubmed ID | |
| Authors |
Xin Fang, Jonathan M. Monk, Sergey Nurk, Margarita Akseshina, Qiyun Zhu, Christopher Gemmell, Connor Gianetto-Hill, Nelly Leung, Richard Szubin, Jon Sanders, Paul L. Beck, Weizhong Li, William J. Sandborn, Scott D. Gray-Owen, Rob Knight, Emma Allen-Vercoe, Bernhard O. Palsson, Larry Smarr |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 19% |
| Researcher | 19 | 18% |
| Student > Master | 8 | 7% |
| Student > Bachelor | 7 | 7% |
| Student > Doctoral Student | 6 | 6% |
| Other | 13 | 12% |
| Unknown | 34 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 30 | 28% |
| Agricultural and Biological Sciences | 15 | 14% |
| Immunology and Microbiology | 10 | 9% |
| Computer Science | 4 | 4% |
| Business, Management and Accounting | 2 | 2% |
| Other | 10 | 9% |
| Unknown | 36 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 19 November 2018.
All research outputs
#3,670,279
of 24,876,519 outputs
Outputs from Frontiers in Microbiology
#3,430
of 28,415 outputs
Outputs of similar age
#73,001
of 357,017 outputs
Outputs of similar age from Frontiers in Microbiology
#115
of 692 outputs
Altmetric has tracked 24,876,519 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 28,415 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 87% 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 357,017 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 79% of its contemporaries.
We're also able to compare this research output to 692 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.