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 |
Estimating accuracy of RNA-Seq and microarrays with proteomics
|
|---|---|
| Published in |
BMC Genomics, April 2009
|
| DOI | 10.1186/1471-2164-10-161 |
| Pubmed ID | |
| Authors |
Xing Fu, Ning Fu, Song Guo, Zheng Yan, Ying Xu, Hao Hu, Corinna Menzel, Wei Chen, Yixue Li, Rong Zeng, Philipp Khaitovich |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 553 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 3% |
| Chile | 6 | 1% |
| United Kingdom | 6 | 1% |
| France | 5 | <1% |
| Germany | 5 | <1% |
| Brazil | 3 | <1% |
| Australia | 2 | <1% |
| Sweden | 2 | <1% |
| Denmark | 2 | <1% |
| Other | 15 | 3% |
| Unknown | 491 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 150 | 27% |
| Student > Ph. D. Student | 144 | 26% |
| Student > Master | 46 | 8% |
| Student > Doctoral Student | 37 | 7% |
| Student > Bachelor | 30 | 5% |
| Other | 102 | 18% |
| Unknown | 44 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 313 | 57% |
| Biochemistry, Genetics and Molecular Biology | 85 | 15% |
| Computer Science | 28 | 5% |
| Medicine and Dentistry | 25 | 5% |
| Neuroscience | 11 | 2% |
| Other | 33 | 6% |
| Unknown | 58 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 22 February 2018.
All research outputs
#1,767,443
of 23,289,753 outputs
Outputs from BMC Genomics
#427
of 10,739 outputs
Outputs of similar age
#4,482
of 79,636 outputs
Outputs of similar age from BMC Genomics
#1
of 26 outputs
Altmetric has tracked 23,289,753 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,739 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 96% 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 79,636 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 94% of its contemporaries.
We're also able to compare this research output to 26 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 96% of its contemporaries.