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X Demographics
Mendeley readers
Attention Score in Context
Title |
PacBio-LITS: a large-insert targeted sequencing method for characterization of human disease-associated chromosomal structural variations
|
---|---|
Published in |
BMC Genomics, March 2015
|
DOI | 10.1186/s12864-015-1370-2 |
Pubmed ID | |
Authors |
Min Wang, Christine R Beck, Adam C English, Qingchang Meng, Christian Buhay, Yi Han, Harsha V Doddapaneni, Fuli Yu, Eric Boerwinkle, James R Lupski, Donna M Muzny, Richard A Gibbs |
X Demographics
The data shown below were collected from the profiles of 18 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 | 7 | 39% |
United Kingdom | 3 | 17% |
Netherlands | 1 | 6% |
Norway | 1 | 6% |
Unknown | 6 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 13 | 72% |
Members of the public | 5 | 28% |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 3% |
France | 2 | 1% |
United Kingdom | 2 | 1% |
Netherlands | 1 | <1% |
Austria | 1 | <1% |
Switzerland | 1 | <1% |
Singapore | 1 | <1% |
Italy | 1 | <1% |
Unknown | 150 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 52 | 32% |
Student > Ph. D. Student | 33 | 20% |
Other | 17 | 10% |
Student > Bachelor | 10 | 6% |
Student > Master | 10 | 6% |
Other | 27 | 16% |
Unknown | 15 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 70 | 43% |
Biochemistry, Genetics and Molecular Biology | 47 | 29% |
Medicine and Dentistry | 10 | 6% |
Engineering | 4 | 2% |
Computer Science | 4 | 2% |
Other | 9 | 5% |
Unknown | 20 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 29 June 2021.
All research outputs
#1,124,879
of 26,017,215 outputs
Outputs from BMC Genomics
#153
of 11,367 outputs
Outputs of similar age
#14,041
of 281,874 outputs
Outputs of similar age from BMC Genomics
#5
of 284 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 98% 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 281,874 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 284 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 98% of its contemporaries.