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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Unsupervised genome-wide recognition of local relationship patterns
|
|---|---|
| Published in |
BMC Genomics, May 2013
|
| DOI | 10.1186/1471-2164-14-347 |
| Pubmed ID | |
| Authors |
Neda Zamani, Pamela Russell, Henrik Lantz, Marc P Hoeppner, Jennifer RS Meadows, Nagarjun Vijay, Evan Mauceli, Federica di Palma, Kerstin Lindblad-Toh, Patric Jern, Manfred G Grabherr |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| United Kingdom | 2 | 1% |
| Saint Kitts and Nevis | 1 | <1% |
| Norway | 1 | <1% |
| Australia | 1 | <1% |
| Portugal | 1 | <1% |
| Netherlands | 1 | <1% |
| Sweden | 1 | <1% |
| China | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 138 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 29% |
| Researcher | 40 | 26% |
| Student > Master | 15 | 10% |
| Student > Bachelor | 9 | 6% |
| Professor | 8 | 5% |
| Other | 21 | 14% |
| Unknown | 16 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 89 | 58% |
| Biochemistry, Genetics and Molecular Biology | 17 | 11% |
| Medicine and Dentistry | 6 | 4% |
| Engineering | 6 | 4% |
| Computer Science | 4 | 3% |
| Other | 10 | 7% |
| Unknown | 21 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 16 June 2015.
All research outputs
#15,258,829
of 26,017,215 outputs
Outputs from BMC Genomics
#5,228
of 11,400 outputs
Outputs of similar age
#115,246
of 212,111 outputs
Outputs of similar age from BMC Genomics
#78
of 176 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,400 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 52% 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 212,111 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.