You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bacteria-Human Somatic Cell Lateral Gene Transfer Is Enriched in Cancer Samples
|
|---|---|
| Published in |
PLoS Computational Biology, June 2013
|
| DOI | 10.1371/journal.pcbi.1003107 |
| Pubmed ID | |
| Authors |
David R. Riley, Karsten B. Sieber, Kelly M. Robinson, James Robert White, Ashwinkumar Ganesan, Syrus Nourbakhsh, Julie C. Dunning Hotopp |
X Demographics
The data shown below were collected from the profiles of 95 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 | 29 | 31% |
| United Kingdom | 15 | 16% |
| Canada | 5 | 5% |
| Switzerland | 3 | 3% |
| Australia | 3 | 3% |
| Italy | 2 | 2% |
| Austria | 2 | 2% |
| India | 2 | 2% |
| Spain | 2 | 2% |
| Other | 8 | 8% |
| Unknown | 24 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 50 | 53% |
| Scientists | 42 | 44% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 395 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 4% |
| Germany | 3 | <1% |
| Japan | 3 | <1% |
| Mexico | 3 | <1% |
| Australia | 2 | <1% |
| Brazil | 2 | <1% |
| Netherlands | 2 | <1% |
| France | 2 | <1% |
| United Kingdom | 2 | <1% |
| Other | 7 | 2% |
| Unknown | 353 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 104 | 26% |
| Student > Ph. D. Student | 75 | 19% |
| Student > Bachelor | 40 | 10% |
| Student > Master | 35 | 9% |
| Professor | 24 | 6% |
| Other | 76 | 19% |
| Unknown | 41 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 174 | 44% |
| Biochemistry, Genetics and Molecular Biology | 77 | 19% |
| Medicine and Dentistry | 29 | 7% |
| Immunology and Microbiology | 19 | 5% |
| Computer Science | 11 | 3% |
| Other | 27 | 7% |
| Unknown | 58 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 136. 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 25 March 2021.
All research outputs
#312,400
of 25,874,560 outputs
Outputs from PLoS Computational Biology
#198
of 9,062 outputs
Outputs of similar age
#2,040
of 210,295 outputs
Outputs of similar age from PLoS Computational Biology
#3
of 101 outputs
Altmetric has tracked 25,874,560 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,062 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. 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 210,295 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 99% of its contemporaries.
We're also able to compare this research output to 101 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.