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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrative modeling of transcriptional regulation in response to antirheumatic therapy
|
|---|---|
| Published in |
BMC Bioinformatics, August 2009
|
| DOI | 10.1186/1471-2105-10-262 |
| Pubmed ID | |
| Authors |
Michael Hecker, Robert Hermann Goertsches, Robby Engelmann, Hans-Juergen Thiesen, Reinhard Guthke |
X Demographics
The data shown below were collected from the profiles of 33 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 States | 15 | 45% |
| Netherlands | 2 | 6% |
| India | 2 | 6% |
| Spain | 2 | 6% |
| Canada | 1 | 3% |
| Vietnam | 1 | 3% |
| France | 1 | 3% |
| China | 1 | 3% |
| Chile | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 6 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 85% |
| Scientists | 4 | 12% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 44 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 32% |
| Student > Master | 6 | 13% |
| Student > Ph. D. Student | 5 | 11% |
| Professor > Associate Professor | 5 | 11% |
| Student > Postgraduate | 4 | 9% |
| Other | 10 | 21% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 30% |
| Medicine and Dentistry | 10 | 21% |
| Computer Science | 7 | 15% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Engineering | 4 | 9% |
| Other | 5 | 11% |
| Unknown | 2 | 4% |
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 28 June 2018.
All research outputs
#2,013,402
of 25,028,065 outputs
Outputs from BMC Bioinformatics
#447
of 7,637 outputs
Outputs of similar age
#6,151
of 101,452 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 47 outputs
Altmetric has tracked 25,028,065 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 7,637 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 94% 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 101,452 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 93% of its contemporaries.
We're also able to compare this research output to 47 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 97% of its contemporaries.