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X Demographics
Mendeley readers
Attention Score in Context
| Title |
iTRAQ-proteomics and bioinformatics analyses of mammary tissue from cows with clinical mastitis due to natural infection with Staphylococci aureus
|
|---|---|
| Published in |
BMC Genomics, October 2014
|
| DOI | 10.1186/1471-2164-15-839 |
| Pubmed ID | |
| Authors |
Jinming Huang, Guojing Luo, Zijing Zhang, Xiuge Wang, Zhihua Ju, Chao Qi, Yan Zhang, Changfa Wang, Rongling Li, Jianbin Li, Weijun Yin, Yinxue Xu, Sonia J Moisá, Juan J Loor, Jifeng Zhong |
| Abstract |
Proteomics and bioinformatics may help us better understand the biological adaptations occurring during bovine mastitis. This systems approach also could help identify biomarkers for monitoring clinical and subclinical mastitis. The aim of the present study was to use isobaric tags for relative and absolute quantification (iTRAQ) to screen potential proteins associated with mastitis at late infectious stage. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| India | 1 | 1% |
| Unknown | 71 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 16% |
| Researcher | 9 | 12% |
| Student > Master | 8 | 11% |
| Student > Bachelor | 5 | 7% |
| Professor | 5 | 7% |
| Other | 15 | 21% |
| Unknown | 19 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 29% |
| Veterinary Science and Veterinary Medicine | 10 | 14% |
| Medicine and Dentistry | 6 | 8% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Immunology and Microbiology | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 22 | 30% |
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 12 March 2020.
All research outputs
#8,262,445
of 25,374,917 outputs
Outputs from BMC Genomics
#3,703
of 11,244 outputs
Outputs of similar age
#84,224
of 265,594 outputs
Outputs of similar age from BMC Genomics
#95
of 279 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 11,244 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 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 265,594 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 67% of its contemporaries.
We're also able to compare this research output to 279 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 65% of its contemporaries.