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Mendeley readers
Attention Score in Context
| Title |
NGSQC: cross-platform quality analysis pipeline for deep sequencing data
|
|---|---|
| Published in |
BMC Genomics, December 2010
|
| DOI | 10.1186/1471-2164-11-s4-s7 |
| Pubmed ID | |
| Authors |
Manhong Dai, Robert C Thompson, Christopher Maher, Rafael Contreras-Galindo, Mark H Kaplan, David M Markovitz, Gil Omenn, Fan Meng |
Mendeley readers
The data shown below were compiled from readership statistics for 266 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 1% |
| Brazil | 3 | 1% |
| United States | 3 | 1% |
| United Kingdom | 2 | <1% |
| Belgium | 2 | <1% |
| India | 1 | <1% |
| Canada | 1 | <1% |
| Argentina | 1 | <1% |
| France | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 247 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 60 | 23% |
| Student > Ph. D. Student | 54 | 20% |
| Student > Master | 41 | 15% |
| Student > Bachelor | 23 | 9% |
| Other | 15 | 6% |
| Other | 42 | 16% |
| Unknown | 31 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 110 | 41% |
| Biochemistry, Genetics and Molecular Biology | 58 | 22% |
| Computer Science | 18 | 7% |
| Medicine and Dentistry | 14 | 5% |
| Engineering | 8 | 3% |
| Other | 17 | 6% |
| Unknown | 41 | 15% |
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 05 June 2014.
All research outputs
#7,475,259
of 22,852,911 outputs
Outputs from BMC Genomics
#3,604
of 10,658 outputs
Outputs of similar age
#54,144
of 180,677 outputs
Outputs of similar age from BMC Genomics
#30
of 83 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,658 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 180,677 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.