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Mendeley readers
Attention Score in Context
Title |
ReAS: Recovery of Ancestral Sequences for Transposable Elements from the Unassembled Reads of a Whole Genome Shotgun
|
---|---|
Published in |
PLoS Computational Biology, September 2005
|
DOI | 10.1371/journal.pcbi.0010043 |
Pubmed ID | |
Authors |
Ruiqiang Li, Jia Ye, Songgang Li, Jing Wang, Yujun Han, Chen Ye, Jian Wang, Huanming Yang, Jun Yu, Gane Ka-Shu Wong, Jun Wang |
Mendeley readers
The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 4% |
United Kingdom | 4 | 2% |
Brazil | 3 | 2% |
France | 3 | 2% |
Germany | 3 | 2% |
Italy | 2 | 1% |
Russia | 2 | 1% |
New Zealand | 2 | 1% |
Czechia | 1 | <1% |
Other | 6 | 4% |
Unknown | 134 | 80% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 52 | 31% |
Student > Ph. D. Student | 41 | 25% |
Student > Bachelor | 14 | 8% |
Student > Master | 12 | 7% |
Professor | 9 | 5% |
Other | 31 | 19% |
Unknown | 8 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 94 | 56% |
Biochemistry, Genetics and Molecular Biology | 25 | 15% |
Computer Science | 24 | 14% |
Environmental Science | 3 | 2% |
Engineering | 3 | 2% |
Other | 6 | 4% |
Unknown | 12 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 January 2012.
All research outputs
#3,585,553
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#3,108
of 8,960 outputs
Outputs of similar age
#7,442
of 70,068 outputs
Outputs of similar age from PLoS Computational Biology
#8
of 20 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 65% 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 70,068 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 89% of its contemporaries.
We're also able to compare this research output to 20 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 60% of its contemporaries.