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X Demographics
Mendeley readers
Attention Score in Context
Title |
Comparative genome and transcriptome analyses of the social amoeba Acytostelium subglobosum that accomplishes multicellular development without germ-soma differentiation
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Published in |
BMC Genomics, February 2015
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DOI | 10.1186/s12864-015-1278-x |
Pubmed ID | |
Authors |
Hideko Urushihara, Hidekazu Kuwayama, Kensuke Fukuhara, Takehiko Itoh, Hiroshi Kagoshima, Tadasu Shin-I, Atsushi Toyoda, Kazuyo Ohishi, Tateaki Taniguchi, Hideki Noguchi, Yoko Kuroki, Takashi Hata, Kyoko Uchi, Kurato Mohri, Jason S King, Robert H Insall, Yuji Kohara, Asao Fujiyama |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
United Kingdom | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
Brazil | 1 | 3% |
Unknown | 32 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 26% |
Student > Ph. D. Student | 7 | 21% |
Other | 3 | 9% |
Professor > Associate Professor | 3 | 9% |
Student > Master | 3 | 9% |
Other | 4 | 12% |
Unknown | 5 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 13 | 38% |
Biochemistry, Genetics and Molecular Biology | 9 | 26% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Computer Science | 1 | 3% |
Physics and Astronomy | 1 | 3% |
Other | 2 | 6% |
Unknown | 7 | 21% |
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 13 March 2015.
All research outputs
#7,857,557
of 25,161,628 outputs
Outputs from BMC Genomics
#3,449
of 11,174 outputs
Outputs of similar age
#104,605
of 371,943 outputs
Outputs of similar age from BMC Genomics
#89
of 253 outputs
Altmetric has tracked 25,161,628 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 11,174 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 67% 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 371,943 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 253 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.