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 |
An expression atlas of human primary cells: inference of gene function from coexpression networks
|
|---|---|
| Published in |
BMC Genomics, September 2013
|
| DOI | 10.1186/1471-2164-14-632 |
| Pubmed ID | |
| Authors |
Neil A Mabbott, J Kenneth Baillie, Helen Brown, Tom C Freeman, David A Hume |
| Abstract |
The specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately expressed. Here we have combined a large number of publically available microarray datasets derived from human primary cells and analysed large correlation graphs of these data. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 254 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| Germany | 1 | <1% |
| Ireland | 1 | <1% |
| Australia | 1 | <1% |
| Israel | 1 | <1% |
| Chile | 1 | <1% |
| Denmark | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 242 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 54 | 21% |
| Researcher | 47 | 19% |
| Student > Master | 25 | 10% |
| Student > Bachelor | 20 | 8% |
| Student > Postgraduate | 12 | 5% |
| Other | 49 | 19% |
| Unknown | 47 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 61 | 24% |
| Biochemistry, Genetics and Molecular Biology | 58 | 23% |
| Medicine and Dentistry | 22 | 9% |
| Immunology and Microbiology | 17 | 7% |
| Computer Science | 11 | 4% |
| Other | 29 | 11% |
| Unknown | 56 | 22% |
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 04 January 2024.
All research outputs
#2,138,995
of 26,017,215 outputs
Outputs from BMC Genomics
#519
of 11,400 outputs
Outputs of similar age
#18,535
of 217,563 outputs
Outputs of similar age from BMC Genomics
#9
of 199 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,400 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 95% 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 217,563 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 91% of its contemporaries.
We're also able to compare this research output to 199 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 95% of its contemporaries.