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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RNA-Seq quantification of the human small airway epithelium transcriptome
|
|---|---|
| Published in |
BMC Genomics, February 2012
|
| DOI | 10.1186/1471-2164-13-82 |
| Pubmed ID | |
| Authors |
Neil R Hackett, Marcus W Butler, Renat Shaykhiev, Jacqueline Salit, Larsson Omberg, Juan L Rodriguez-Flores, Jason G Mezey, Yael Strulovici-Barel, Guoqing Wang, Lukas Didon, Ronald G Crystal |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| Germany | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| Germany | 3 | 2% |
| United Kingdom | 2 | 1% |
| Brazil | 1 | <1% |
| India | 1 | <1% |
| Italy | 1 | <1% |
| China | 1 | <1% |
| Colombia | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 133 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 44 | 29% |
| Student > Ph. D. Student | 41 | 27% |
| Student > Master | 12 | 8% |
| Student > Bachelor | 10 | 7% |
| Other | 9 | 6% |
| Other | 18 | 12% |
| Unknown | 17 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 69 | 46% |
| Biochemistry, Genetics and Molecular Biology | 23 | 15% |
| Medicine and Dentistry | 21 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 3% |
| Computer Science | 4 | 3% |
| Other | 10 | 7% |
| Unknown | 19 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 20 August 2017.
All research outputs
#14,914,476
of 25,374,647 outputs
Outputs from BMC Genomics
#5,157
of 11,244 outputs
Outputs of similar age
#96,560
of 167,993 outputs
Outputs of similar age from BMC Genomics
#46
of 91 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 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 52% 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 167,993 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.