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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Efficient and accurate whole genome assembly and methylome profiling of E. coli
|
|---|---|
| Published in |
BMC Genomics, October 2013
|
| DOI | 10.1186/1471-2164-14-675 |
| Pubmed ID | |
| Authors |
Jason G Powers, Victor J Weigman, Jenny Shu, John M Pufky, Donald Cox, Patrick Hurban |
X Demographics
The data shown below were collected from the profiles of 33 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 | 13 | 39% |
| United Kingdom | 6 | 18% |
| Netherlands | 2 | 6% |
| India | 1 | 3% |
| Norway | 1 | 3% |
| Canada | 1 | 3% |
| Spain | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 7 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 48% |
| Scientists | 16 | 48% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| China | 2 | 1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Mexico | 1 | <1% |
| Norway | 1 | <1% |
| Japan | 1 | <1% |
| New Zealand | 1 | <1% |
| Unknown | 125 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 37 | 27% |
| Student > Ph. D. Student | 23 | 17% |
| Student > Master | 23 | 17% |
| Student > Bachelor | 14 | 10% |
| Other | 11 | 8% |
| Other | 24 | 17% |
| Unknown | 7 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 76 | 55% |
| Biochemistry, Genetics and Molecular Biology | 32 | 23% |
| Computer Science | 8 | 6% |
| Engineering | 3 | 2% |
| Chemistry | 3 | 2% |
| Other | 6 | 4% |
| Unknown | 11 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 21 February 2024.
All research outputs
#1,587,421
of 25,373,627 outputs
Outputs from BMC Genomics
#292
of 11,244 outputs
Outputs of similar age
#14,344
of 220,243 outputs
Outputs of similar age from BMC Genomics
#5
of 209 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 220,243 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 209 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.