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X Demographics
Mendeley readers
Attention Score in Context
Title |
Construction of a computable cell proliferation network focused on non-diseased lung cells
|
---|---|
Published in |
BMC Systems Biology, July 2011
|
DOI | 10.1186/1752-0509-5-105 |
Pubmed ID | |
Authors |
Jurjen W Westra, Walter K Schlage, Brian P Frushour, Stephan Gebel, Natalie L Catlett, Wanjiang Han, Sean F Eddy, Arnd Hengstermann, Andrea L Matthews, Carole Mathis, Rosemarie B Lichtner, Carine Poussin, Marja Talikka, Emilija Veljkovic, Aaron A Van Hooser, Benjamin Wong, Michael J Maria, Manuel C Peitsch, Renee Deehan, Julia Hoeng |
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 % |
---|---|---|
United States | 1 | 25% |
Japan | 1 | 25% |
Unknown | 2 | 50% |
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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 5% |
United Kingdom | 1 | 2% |
Germany | 1 | 2% |
Belgium | 1 | 2% |
Unknown | 55 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 22 | 36% |
Student > Ph. D. Student | 10 | 16% |
Student > Bachelor | 6 | 10% |
Professor > Associate Professor | 5 | 8% |
Other | 4 | 7% |
Other | 11 | 18% |
Unknown | 3 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 21 | 34% |
Biochemistry, Genetics and Molecular Biology | 10 | 16% |
Medicine and Dentistry | 8 | 13% |
Computer Science | 6 | 10% |
Engineering | 5 | 8% |
Other | 6 | 10% |
Unknown | 5 | 8% |
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 09 February 2021.
All research outputs
#2,720,860
of 23,577,654 outputs
Outputs from BMC Systems Biology
#71
of 1,139 outputs
Outputs of similar age
#13,367
of 117,245 outputs
Outputs of similar age from BMC Systems Biology
#1
of 32 outputs
Altmetric has tracked 23,577,654 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 1,139 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 93% 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 117,245 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 88% of its contemporaries.
We're also able to compare this research output to 32 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 96% of its contemporaries.