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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Control of gene expression during T cell activation: alternate regulation of mRNA transcription and mRNA stability
|
|---|---|
| Published in |
BMC Genomics, May 2005
|
| DOI | 10.1186/1471-2164-6-75 |
| Pubmed ID | |
| Authors |
Chris Cheadle, Jinshui Fan, Yoon S Cho-Chung, Thomas Werner, Jill Ray, Lana Do, Myriam Gorospe, Kevin G Becker |
| Abstract |
Microarray technology has become highly valuable for identifying complex global changes in gene expression patterns. The effective correlation of observed changes in gene expression with shared transcription regulatory elements remains difficult to demonstrate convincingly. One reason for this difficulty may result from the intricate convergence of both transcriptional and mRNA turnover events which, together, directly influence steady-state mRNA levels. |
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 % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 5% |
| Germany | 3 | 2% |
| United Kingdom | 3 | 2% |
| Brazil | 2 | 1% |
| France | 1 | <1% |
| Switzerland | 1 | <1% |
| Chile | 1 | <1% |
| Netherlands | 1 | <1% |
| Unknown | 161 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 62 | 34% |
| Researcher | 41 | 23% |
| Student > Master | 21 | 12% |
| Professor > Associate Professor | 11 | 6% |
| Student > Doctoral Student | 7 | 4% |
| Other | 24 | 13% |
| Unknown | 16 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 81 | 45% |
| Biochemistry, Genetics and Molecular Biology | 43 | 24% |
| Immunology and Microbiology | 9 | 5% |
| Computer Science | 8 | 4% |
| Medicine and Dentistry | 7 | 4% |
| Other | 11 | 6% |
| Unknown | 23 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 02 April 2024.
All research outputs
#5,307,156
of 25,626,416 outputs
Outputs from BMC Genomics
#2,041
of 11,293 outputs
Outputs of similar age
#12,480
of 70,713 outputs
Outputs of similar age from BMC Genomics
#4
of 14 outputs
Altmetric has tracked 25,626,416 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,293 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 81% 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 70,713 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 82% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.