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Mendeley readers
Attention Score in Context
| Title |
Cell-type specific gene expression profiles of leukocytes in human peripheral blood
|
|---|---|
| Published in |
BMC Genomics, May 2006
|
| DOI | 10.1186/1471-2164-7-115 |
| Pubmed ID | |
| Authors |
Chana Palmer, Maximilian Diehn, Ash A Alizadeh, Patrick O Brown |
| Abstract |
Blood is a complex tissue comprising numerous cell types with distinct functions and corresponding gene expression profiles. We attempted to define the cell type specific gene expression patterns for the major constituent cells of blood, including B-cells, CD4+ T-cells, CD8+ T-cells, lymphocytes and granulocytes. We did this by comparing the global gene expression profiles of purified B-cells, CD4+ T-cells, CD8+ T-cells, granulocytes, and lymphocytes using cDNA microarrays. |
Mendeley readers
The data shown below were compiled from readership statistics for 329 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 2% |
| Germany | 4 | 1% |
| United Kingdom | 4 | 1% |
| Italy | 1 | <1% |
| Uruguay | 1 | <1% |
| Kenya | 1 | <1% |
| Netherlands | 1 | <1% |
| Finland | 1 | <1% |
| Ireland | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 305 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 78 | 24% |
| Student > Ph. D. Student | 76 | 23% |
| Student > Master | 42 | 13% |
| Student > Bachelor | 30 | 9% |
| Student > Doctoral Student | 22 | 7% |
| Other | 46 | 14% |
| Unknown | 35 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 135 | 41% |
| Biochemistry, Genetics and Molecular Biology | 61 | 19% |
| Medicine and Dentistry | 32 | 10% |
| Immunology and Microbiology | 20 | 6% |
| Neuroscience | 7 | 2% |
| Other | 29 | 9% |
| Unknown | 45 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 December 2021.
All research outputs
#2,589,796
of 22,699,621 outputs
Outputs from BMC Genomics
#848
of 10,616 outputs
Outputs of similar age
#5,535
of 65,756 outputs
Outputs of similar age from BMC Genomics
#5
of 30 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 92% 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 65,756 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 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.