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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Systems biology of interstitial lung diseases: integration of mRNA and microRNA expression changes
|
|---|---|
| Published in |
BMC Medical Genomics, January 2011
|
| DOI | 10.1186/1755-8794-4-8 |
| Pubmed ID | |
| Authors |
Ji-Hoon Cho, Richard Gelinas, Kai Wang, Alton Etheridge, Melissa G Piper, Kara Batte, Duaa Dakhlallah, Jennifer Price, Dan Bornman, Shile Zhang, Clay Marsh, David Galas |
| Abstract |
The molecular pathways involved in the interstitial lung diseases (ILDs) are poorly understood. Systems biology approaches, with global expression data sets, were used to identify perturbed gene networks, to gain some understanding of the underlying mechanisms, and to develop specific hypotheses relevant to these chronic lung diseases. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| France | 2 | 1% |
| Germany | 2 | 1% |
| Netherlands | 1 | <1% |
| Colombia | 1 | <1% |
| Italy | 1 | <1% |
| Finland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Norway | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 131 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 43 | 29% |
| Student > Ph. D. Student | 34 | 23% |
| Student > Master | 15 | 10% |
| Professor > Associate Professor | 12 | 8% |
| Other | 8 | 5% |
| Other | 27 | 18% |
| Unknown | 9 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 63 | 43% |
| Biochemistry, Genetics and Molecular Biology | 26 | 18% |
| Medicine and Dentistry | 19 | 13% |
| Computer Science | 15 | 10% |
| Nursing and Health Professions | 3 | 2% |
| Other | 11 | 7% |
| Unknown | 11 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 September 2012.
All research outputs
#7,229,557
of 23,577,761 outputs
Outputs from BMC Medical Genomics
#342
of 1,264 outputs
Outputs of similar age
#52,832
of 185,639 outputs
Outputs of similar age from BMC Medical Genomics
#7
of 11 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,264 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 71% 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 185,639 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.