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Mendeley readers
Attention Score in Context
| Title |
Large-scale transcriptome sequencing and gene analyses in the crab-eating macaque (Macaca fascicularis) for biomedical research
|
|---|---|
| Published in |
BMC Genomics, May 2012
|
| DOI | 10.1186/1471-2164-13-163 |
| Pubmed ID | |
| Authors |
Jae-Won Huh, Young-Hyun Kim, Sang-Je Park, Dae-Soo Kim, Sang-Rae Lee, Kyoung-Min Kim, Kang-Jin Jeong, Ji-Su Kim, Bong-Seok Song, Bo-Woong Sim, Sun-Uk Kim, Sang-Hyun Kim, Kyu-Tae Chang |
| Abstract |
As a human replacement, the crab-eating macaque (Macaca fascicularis) is an invaluable non-human primate model for biomedical research, but the lack of genetic information on this primate has represented a significant obstacle for its broader use. |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Malaysia | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 37 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 29% |
| Student > Ph. D. Student | 8 | 20% |
| Student > Bachelor | 3 | 7% |
| Student > Postgraduate | 3 | 7% |
| Student > Master | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 7 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 39% |
| Biochemistry, Genetics and Molecular Biology | 8 | 20% |
| Medicine and Dentistry | 3 | 7% |
| Computer Science | 2 | 5% |
| Environmental Science | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 8 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 04 May 2012.
All research outputs
#5,716,520
of 22,710,079 outputs
Outputs from BMC Genomics
#2,386
of 10,624 outputs
Outputs of similar age
#39,449
of 163,535 outputs
Outputs of similar age from BMC Genomics
#15
of 80 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 10,624 research outputs from this source. They receive a mean Attention Score of 4.7. 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 163,535 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 75% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.